data classification

Clustering is one of a kind, cluster analysis is not aware of the number of categories of cases on sample data classification.

The progress of imaging spectral data classification is reviewed from its two aspects including feature extraction and classifier design.

Pattern recognition in multi-dimensional data classification is an import- ant research topic.

Some initial investigations are conducted to employ DNA computing for hyperspectral remote sensing data classification.

At last, some principled problems about the practical application of the methods to remote sensing data classification are discussed.

PC data acquisition to be completed after the data classification and retention.

Rios has a background in data classification, determination of content's international relevance and spam detection.

Therefore, it is meaningful both in theory and application to improve it when applied to data classification.

And finally, data-classification experiments with the binary-class SVMs are performed.

Some key issue of sequential data classification is discussed, with the formal definition of sequence data given. 2.

The improved ART2 neural network has definite value in data classification of nuclear radiation field.

Applied to fault data classification of diesel engine, it can obtain the fault class fast and actually.

Based on the integral square, the paper Puts forward a new distance define method , and advanced the approach of data classification . 3.

The data classification may help facilitate how to assess the domain.

Quality Evaluation of Statistical Data Classification Considering Spatial Autocorrelation

Contrast Research on Two Modes of Inputting Data Applied to Electrocardiography Data Classification

A Unified Artificial Immune System Framework and Its Application to Data Classification

Data Classification and Modeling of Essential Health Institutional Human Resources Information

On Holmes'Construction of the Data Classification System for Comparative Education Study

Spur Gear Drives for Fine Mechanics; Scope, Definitions, Principal Design Data, Classification

A Neuro-fuzzy Approach For the Data Classification and Its Application

High Dimensional Multispectral Data Classification by Support Vector Machine

Applying Data Classification Technology of Knowledge Discovery in Network Teaching

Research and Application of A Product Cost Estimating System Based on Data Classification and Predication

Analysis of Feature Selection and Its Impact on Hyperspectral Data Classification Based on Decision Tree Algorithm

Several thoughts about clinical science data classification

Application of Matching in Medical Scientific Data Classification and Coding

Comparison of Three Geostatistical Texture Measures for Remotely Sensed Data Classification

Data Classification of Reduced Attributes Based on Discernibility Matrix and Discernibility Function

Support Vector Machines for Spatial Data Classification

Two-step matrix projection algorithm for data classification

Data-sharing Oriented Land and Resources Data Classification

Data Classification and Recognition of Support Vector MachinesBased on Fuzzy C-means Clustering

Multisource data classification with dependence trees

Data Classification of Dominance-based Rough Set Approach

SCBA: An evolving rules-based model for stream data classification

Microarray data classification based on artificial neural network ensembles

Enterprise purchase request analysis system based on Data Classification Mining

Investigation and design of method of intrusion detection data classification based on kernel machine

Data Classification Based on a Modified Fuzzy Artificial Immune Network

Data classification based on density function estimated by radial basis function

Data Classification Modeling Based on Granular Computing

Evaluation of Data Classification's Quality Based on Separatory Measure

Data classification algorithm based on two-step matrix projection

Coronary heart disease data classification method based on rough set

Table 2: Domain Analysis by data classification

Research of data classification based on neural networks

A Data Classification Method Based on Concept Similarity

A Method for Data Classification Based on Combined Neural Network

A Method of Data Classification Based on Parallel Genetic Algorithm

The Study on Remote Sensing Data Classification Using Bayesian Network

New Method of Data Classification Based on Genetic Algorithm

A Novel Algorithm for Data Classification Based on SVM