principal component

It utilizes principal component analysis method to determine index weight and chooses Yellow River Delta as a case of demonstration.

The second principal component's characters were all correlated with commodity characters, so was called commodity character factors.

The principal component model and the regression model between the total dissolved solids and ions content were established in this paper.

A popular decomposition called principal component analysis (PCA) is widely used for feature extraction.

It showed that the main driving factor was the increase of population growth and urbanization by Principal component analysis.

Furthermore, the principal component scores can and should always be used to help validate the results of clustering programs.

Principal component analysis (PCA) and successive projections algorithm (SPA) were separately used to reduce variables of spectral model.

As a multivariate statistical analysis method, principal component analysis is widely used in data process and reduction.

The high frequency noise of the system can be checked out by principal component combined with the correlation coefficie. . .

Then we conduct clustered principal component analysis to compress and simplify the displacement data of the skeleton segments of each tree.

Generalization can be defined quantitatively and can be used to assess the performance of principal component analysis (PCA).

In the support of these data, we have adopted the principal component analysis method analyzing the driving forces of land use change.

Principal component score method was used to grade rural drinking water and sanitation.

The determination of weights has taken the average of the values of principal component analysis and Delphi method as the ultimate weight.

KPCA extracted principal component with nonlinear method and described the relationship among three or more pixels of the identified images.

Subsequently, principal component analysis (PCA) is used for dimensionality reduction.

This article tries to introduce principal component analysis and principal component classification into automatic incident detection area.

In the end of the paper, Principal Component Analysis (PCA) is used to search the Listed Automobile Company performance by the model.

Obtained: Partial Least Squares iterative algorithm to handle data sheet leaflet extraction equivalence with Principal Component Analysis.

Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.

We use principal component analysis on term structure we got. Base on this result, we build three factors: level, slope and curvature.

The spectral characteristics of pure reagent are displayed by the plot of weight of the principal component vs wave-length.

The principal component analysis and cluster analysis could be perfectly applied in data processing in inorganic elements.

Data mining techniques of cluster analysis and principal component analysis to explore the massive monitoring data processing technology.

The dissertation mainly aims at applying support vector machine (SVM) and kernel principal component analysis (KPCA) to intrusion detection.

The Fuzzy Cluster and principal Component Analysis (PCA) fot classifying the brush--wood of the Shanhaiguan Forestry Farm in this paper.

Finally Shanghai being taken as an example, with the principal component analysis the simplified model coefficients was produced.

After that, principal component analysis and the knowledge of linear algebra were used to endow different weight for every concrete index.

Application of principal component analysis and discriminant dassification techniques were studied hydrochemical types of Qinghai salt lake.

To improve the efficiency of color image segmentation algorithm, we use quaternion principal component analysis to process color images.

Methods of system analysis, principal component analysis and graphical representation were employed.

Entropy method in the principal component analysis is based on weight, then, ask out of competitive power evaluation of listed companies.

On this basis, this paper introduce an analysis of ordinal data on nonlinear principal component method.

The index system was established and the principal component of the driving factor of dynamic changes mechanism was analyzed with SPSS.

Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate.

Statistical methods include principal component analysis, clustering analysis and radar map method.

In this study, principal component analysis and correlation analysis of land use change on the socioeconomic driving factors are analyzed.

In fact, it is considered to be a bonus when the principal component variables can actually be interpreted.

Incipient fault detection and isolation of field devices in nuclear power systems using principal component analysis.

Principal Component Analysis(PCA) method and nucleation theory are applied in configuration analysis produced by MD runs.

Principal component analysis is designed to keep lower-dimensional components and ignore higher-order components.

The principal component influencing the performance of the DMFC is proton exchange membrane.

The classification model of papermaking plant fibrous material was established by using principal component analysis.

This paper proposes a new Fourier shape descriptor integrated with Principal Component Analysis(PCA) and the Farthest Point Distance(FPD).

Principal Component Analysis (PCA) and non-parametric tests were performed to assess relationships.

An anomaly detection model was constructed from the distance in the principal component space and the reconstruction error of training data.

Secondly, a new weighted principal component analysis (PCA) method was designed to lower dimension for sample matrixes.

An approach to fault feature extraction is presented, which bases on kernel principal component analysis (KPCA).

Feature vectors are acquired by wavelet decomposition and principal component analysis.

Applying a one-side t-test, the difference in the principal component for the monthly mean temperature is significant at the 5% level.

Driving force of forest area changes in Changsha city was analyzed by principal component regression analysis.

We used factor analysis and principal component analysis to the questionnaire result and got five key factors.

The scores of the first principal component may approximately represent the extent of the outbreaks of pest.

Methods of principal component analysis, grey incidence analysis were employed.

An approach to gear fault diagnosis is presented, which bases on kernel principal component analysis (KPCA).

The paper sets up a risk early-warning model using the methods of BP neural network and principal component analysis.

Multi-scale principal component analysis (MSPCA) for sensor fault diagnosis is discussed.

Then, this paper measures the current level of agricultural integration in Jiangxi province with the method of principal component analysis.

Principal component analysis is an important analysis method in the multianalysis.

Principal component analysis showed that the first three principal components accounted for 88. 47% accumulation contribution rate.

An efficient face recognition system is designed by using Discrete Wavelet Transform( DWT ), Principal Component Analysis(PCA) and WMMC.

This paper proposes a method based on Principal Component Analysis(PCA) combined with improved K-means for action potential classification.

Principal Component Analysis (PCA) is studied and some modifications are discussed to improve the performance of PCA.

In order to determine the factors of land gradating scientifically, this paper selected principal component analysis.

An identification method based on UV-VIS spectroscopy and principal component analysis was developed to identify blue ballpoint pen inks.

A novel face hallucination method based on interpolation and principal component analysis is presented.

The third part: The principal component analysis on the factors of influencing farmers' income to increase.

Methods Principal component analysis and Factor analysis, BPNN, SVM.

The paper proposes a method of channel selection based on the cumulative effect coefficient of principal component.

In contrast, a complex principal component has a clear physical significance, and their real and imaginary parts are related to each other.

As the principal component in glass, silicon dioxide was used as early as 5000 BC.

A feature extraction method for palmprint recognition based on Two-Dimensional Principal Component Analysis(2DPCA)is proposed in this paper.

Dimensionality reduction method based on kernel principal component analysis was introduced to improve the matching speed. 4.

The new neural network prediction model of water level is established based on the principal component analysis(PCA).

A new de-noising method for telemetry signal based on Principal Component Analysis (PCA) was proposed.

It use principal component to evaluate the level of human capital investment the 2006 City of Shandong Province.

The 9 resistant components to rice blast in 21 rice varieties were studied by principal component analysis.

RPS is the principal component of rehmannia glutinosa.

And then we introduce a two-dimensional principal component analysis (2DPCA) based on a direct matrix.

The second principal component is the root activity and SOD activity. 7.

This paper presents eigen ECG, which is based on principal component analysis, a new method for hu- man identification.

A face recognition method based on 2D Principal Component Analysis(2DPCA) and compressive sensing is introduced in this paper.

Thirdly, soil erosion intensity map was obtained by using the method of principal component analysis based on GIS.

In this paper, based on the correlation matrix analysis of sample data, a principal component analysis method is used.

Principal Component, Factor and Cluster Analysis were used to study the patterns and relationships among PCBs.

For example, plots of principal component scores can help identify outliers in the data when they exist.

Principal component analysis of motion patterns for the point-touch movement of the index finger

Application on means of principal component analysis in evaluation of economic efficiency of PE products manufacturing industry

scientific research organization; human resources accounting; performance evaluate; principal component analysis; regression analysis;

Study of Near-Infrared Spectra for Quantitative Analysis Using Principal Component-stepwise Regression Analysis

The vulnerability of the banking system; Principal component analysis; Factor Analysis; Quantitative Analysis; Error correction model;

Principal Component Analysis carries on the comprehensive assessment by re-composition of the various indicators into three non-linear;

Derivation of a soil albedo dataset from MODIS using principal component analysis: Northern Africa and the Arabian Peninsula

Study of Application of FT-NIR and Principal Component Analysis to the Classing and Distinguishing of Fritillaria

Study of Influential Factors of Expense to Public Health per Capita with Principal Component Regression Analysis

The Principal Component Projection Method and Its Application to Regional Ecological Security Evaluation

Principal Component Analysis-Support Vector Regression and Its Application In Near Infrared Spectral Analysis

Application of the Principal Component Cluster Analysis Method in Hydrologic Regionalization of Ningxia Autonomous Region

A Comparative Study of Population Differentiation by Using Principal Component Analysis And Cluster Analysis

Application of kernel principal component analysis and cluster analysis in quantitative assessing regional tourism competitiveness

Amino Acid Principal Component Analysis for Protein Structural Study and Its Application in Structure Prediction

Principal Component Analysis of the Main Economic Characters and Superior Variety Selection of Raspberry

Representation of the quasi-biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis

Technological Innovation Capability Evaluation of Enterprises in the Northeast Old Industrial Base Via Principal Component Projection Method

Extraction of Depth Information for Micromanipulation Using Normalized Spectral Principal Component Analysis

Application of Weighted Principal Component Analysis in Comprehensive Evaluation for the Road Network

Diamond Model; International Competitiveness of Industry; Principal Component Analysis;

An Orthogonal Expansion Algorithm of Principal Component Suitable to Deal with the Fingerprinting Data of Chinese Medicine

Application of the Principal Component Analysis for the Influence Factors of Solvency in Non-life Insurance Companies

A study of spectral features of stands and their related factors with principal component analysis

Comprehensive Nutritional Evaluation of Diabetic Inpatients with Principal Component Analysis

An Empirical Study of Commercial Banks Efficiency and Competitiveness of China Through Two-stage DEA and Circumrotatory Principal Component

Principal Component Projection Applied to Evaluation of Regional Ecologic Security

Relative Principal Component Analysis Algorithm and Its Application in Fault Detection

The Novel Algorithm for Estimation of the Number of Principal Component in Partial Least-Squares Method

Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

Credit Scoring via Principal Component Analysis Linear-weighted Comprehensive Assessment and Application

Study on Classification and Elemental Concentration Prediction of Geological Samples by Principal Component Analysis

Application of Principal Component Analysis Method About the Influence Factors of Cooperative Relationship Between Enterprises and Retailers

Application of principal component analysis and support vector machine in evaluating corrosion severity of reinforcing steel in concrete

indicators for quality control of classified are evidently researched and analyzed by principal component analysis model, the cluster model;

Application of principal component analysis in comprehensive evaluation of ethnic autonomous prefecture

Study of River Water Quality and Bio-toxicity in Beijing by Principal Component Analysis Method

Morphological Diversities of the Different Species of Elymus spp and their Principal Component Analysis

Kernel Principal Component Analysis and Its Application to Fault Feature Extraction

color image segmentation; principal component analysis; quaternion; algebraic multi-grid method;

Discrimination of Trueborn Tuber Dioscoreae by Fingerprint Infrared Spectra and Principal Component Analysis

Handwritten Character Recognition Using Principal Component Analysis

Applying the Principal Component Analysis Method in Comprehensive Evaluation of Economic Results of Tobacco Industry in Guangdong

Pulp Kappa Number On-Line Determination by Near-Infrared Spectroscopy with Principal Component-Stepwise Regression Algorithm

Improving Performance of Kernel Principal Component Analysis Using Combination Kernel Functions

A Riemannian Geometry Underlying Stochastic Algorithm for Adaptive Principal Component Analysis

The Application of Principal Component Analysis in the Evaluation of an Individual Stock in Security Market

Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

The Application of the Principal Component Regression in Forecasting Paddy Water Requirements

The Principal Component Projection Method Applied to Statistical Analysis of Shares on Sale in Stock Market

The application in the environmental monitoring point optimizes of the principal component analysis

Principal component analysis on operation parameters and pollutant emission of municipal solid waste incinerator

Principal Component-Cluster Analysis Method for the Assessment of Seawater Eutrophication

Principal Component Analysis of Students'Constitutional Healthiness

Application of Weighted Principal Component Analysis in Comprehensive Evaluation for Variable Speed Limits

An Application of Principal Component Analysis to the Evaluation of the Matching Gap Between Auto-body Stampings

Rough Principal Component Analysis and Its Application on Feature Extraction for Gears

Identification of Bacillariophyta and Pyrrophyta by Using Fluorescence Spectrum and Principal Component Analysis

Provincial Financial Competitiveness; General Index; System of Indices; Principal Component Analysis;

The Method of Principal Component Analysis by Weighting Variables to Evaluate Polluting State of Water Environment

Application of the kernel principal component analysis method in comprehensive evaluation of ship type

Blind Source Separation for fMRI Signals Using a New Independent Component Analysis Algorithm and Principal Component Analysis

The Automatic Detection Methods of Changing Information for Dynamic Monitoring by Principal Component Transform

Plotting processing product types for kernels from excellent strains of Hubei walnut using principal component analysis method

Quantitative study on the difference of regional sustainable development-the principal component analysis

Comparison of Principal Component Analysis with Factor Analysis in Comprehensive Multi-indicators Scoring

A Study of Ranking Formulas of the Principal Component Analysis and AHP

KPCA: A Nonlinear Principal Component Analysis Algorithm Integrating Priori Class Information

Principal component analysis and integral methods of cerebral vascular hemodynamic parameters

Improved principal component analysis to feature selection for transient stability assessment

The Application of Principal Component Analysis in Matching the Supply and Demand of the Logistics Training Market

logistics node facility; layout; logistics demand; principal component analysis;

Principal component analysis of factors affecting consumer information searching

Discrimination of Normal and Malignant Gastric Tissues with FTIR Spectroscopy and Principal Component Analysis

An Improved Method for the Application of Principal Component Analysis for the Comprehensive Evaluation

Application of Principal Component Analysis in Blood Biochemistry Research in Coccidia-Infected Broilers

Genetic Variation, Correlation and Principal Component Analyses on Major Agronomic Characters of Cassava

Constructing the Model of the Enterprise's Financial Crisis with the Principal Component Analysis

Analysis of Principal Component and Cluster in Spring Wheat High-molecule-weight Glutenin Subunits and Gliadin Bands and Main Quality Traits

Application of principal component analysis in construction schemes of underground structure group

Research on damage localization of principal component analysis-based probabilistic neural network

The Application of Principal Component Analysis to Economic Sustainable Development Research

Application of principal component analysis in flocculating experiments of dyeing wastewater

Streptomycin fermentation process modeling with principal component analysis and fuzzy model

The application of principal component analysis to agriculture soil contamination assessment

Application of Principal Component Analysis in Evaluating Growth and Development Status of Preschool Children

Application of principal component analysis and Fisher discrimination method in the classification of gasoline

The Principal Component Analysis and Clustering Analysis for the Quantitative Traits of Red-seed Watermelon

The Evaluation of Multiple Principal Component of Large Scale System and Its Application

Application of principal component analysis in evaluation of meat quality and sieving optimal combination in crossbred pigs

Nonlinear multiscale multiway principal component analysis

The application of the principal component analysis method in quality evaluation of cultivated land

Application of principal component analysis in date processing of quantum chemistry calculations on nucleic acid bases

Canonical Correlation and Principal Component Analysis of Quantity Character of Transgenic Cotton

Application of principal component analysis and cluster analysis to provincial logistics planning

Principal Component of the Economic Character and Superior Variety Selection of Raspberry

The Application of Principal Component Analysis to Quality Assessment of University Students and College Students

Application of Principal Component and Cluster Analysis in the Urban Aquatic Ecological Region Classification

Kernel Probabilistic Principal Component Model and Monitoring Indices in Industrial Process

Determination of Yttrium in Rare Earths by Principal Component Regression Spectrophotometry

Principal Component Analysis of the Spatial Differences of Urban Land Intensive Use in Jiangsu Province

Discussion of Integrated Evaluation Models of the Principal Component Analysis

Principal Component Analysis of TCM Syndrome of Stroke Application of Main Component Analysis in Systemic Evaluation of Stroke

Application of BP Neural Network Principal Component Analysis to Forecasting the Automobile Population

Application of Principal Component Analysis in Building Enterprises Evaluation

Application of Principal Component Analysis on Workable Competition Evaluation

Evaluation for Urban Traffic Management Planning on Improved Principal Component Analysis Method

Principal Component Analysis on Micrograph Character Parameters of Wood Transverse Section

Discussion of the Same Trending Methods of Indices in Principal Component Analysis and Factor Analysis

Genetic Variation, Correlation and Principal Component Analyses on Major Agronomic Character of Maize

Ranking and Clustering the Result Set of Text Retrieval by Principal Component Analysis

Application of Principal Component Analysis and Cluster Analysis in Suitable Evaluation of Cultivated Land

Application of principal component analysis in the comprehensive evaluation on high eutrophication of lakes

Application of the principal component analysis in the description of running status for diesel engine

Principal component analysis method of combustion reaction kinetic mechanism reduction

Application of Principal Component Analysis Method in Comprehensive Evaluation for Road Network

Application of Principal Component Analysis and Cluster Analysis to Regional Logistics Planning

The Application of Principal Component Analysis in Desertification Researches

Principal Component Analysis and Its Application in Urban Planning

The Principal Component Analysis Method for Engine Flight Mission Profiles Categorization

The Principal Component Neural Networks in Evaluation of Undergraduates'General Qualities

Inverse Projection Principal Component Analysis with Application to Fault Diagnosis

Principal Component Analysis for Simultaneous Spectrophotometric Determination of Pb and Cd in Water

Determination of Pulp Kappa Number by Near-infrared Spectroscopy Using Principal Component - BP Algorithm

Principal Component Analysis Applied in the Discrete Data of Sustainable Innovation Ability on Enterprises

Generation of reference fingerprint using principal component analysis

Problems and Solutions of Principal Component Comprehensive Evaluation

Application of the Principal Component Analysis in Enterprise's Safety Evaluation

Application of principal component analysis in the forensic medicine identification

The Comparison between Principal Component Analysis and Factor Analysis and Real Diagnosis Analysis

Principal component analysis on marine economy and environmental development

Treating of Overlapping UV Spectrum by Discrete Transform Principal Component Regression

Principal Component Analysis on Drought Resistant Adaptability of Sweet Potato Cultivars

Tianjin Port; Binhai New Area; Coordination degree; Principal Component Analysis method;

Principal component fusion-based classification of salt field water bodies with remote sensing technique

Principal Component Analysis and Numeric Taxonomy of the Local Varieties in Capsicum Genus

Principal Component Analysis on the Nutritional Quality of the Local Corn Breeds of Henan Province

Character Evaluation and Superior Selection of Toona sinensis by Principal Component Analysis

Principal component analysis based artificial neural networks for arc welding quality control

Principal Component Extraction for Remote Sensing Image Using Auto-Association Neural Network

Application of principal component analysis and cluster analysis to evaluating ecological safety of land use

Bonding effect prediction of dry-cleaned composite fabric by principal component analysis and neural network

Study on Principal Component Analysis Applied to Project Selecting

Multi-response Optimization Design Using Principal Component Analysis

Principal Component Analysis'Application to the Software Metrics-based for Risk Assessment

Application of principal component analysis in performance evaluation of city logistics

The Principal Component Analysis and Cluster Analysis of the Flue-cured Tobacco Varieties

Principal Component Analysis and Data Reconstruction for Process Monitoring

Fault isolation and identification approach in principal component subspace

Principal component analysis of blind signal separation with nonlinear approaches

Application of Principal Component Analysis in Infrared Image Sequence Processing

Applications of Principal Component Analysis and Clustering Analysis in Insurance

Evaluation for Stations Arrangement of Highway Transport Hub on Principal Component Analysis

The principal component analysis of the staff performance appraisal system

Research on Principal Component Analysis of Remote Sensing Images Processing through Example

Fault Diagnosis for Nonlinear Dynamic System Using Kernel Principal Component Analysis

The principal component analysis of agronomic characters and the path analysis of black spot disease of non-heading Chinese cabbage

A Research on Usage of Principal Component Analysis in Synthetic Ordering with Highly Correlative Variable

Classification of Plant Fibrous Material with Principal Component Analysis

Application of Kernel Principal Component to Turbines Condition Monitoring

The Principal Component Analysis in Evaluation of Undergraduates'Qualities

Information loss and Efficiency Estimation by Principal Component Analysis

A Principal Component Neural Network with Minimum Error Entropy for Dimension Reduction of Non-Gaussian System

Principal component analysis of seamen's collision avoidance behaviors and relative factors