After that a linear skeleton topological similaritymeasurealgorithm based on skeleton tree is detailed.
本文给出了一种基于骨架树的线性骨架拓扑相似性度量算法。
2
The Euclidean distance is usually chosen as the similaritymeasure in the conventional K-means clustering algorithm, which usually relates to all attributes.
传统的K-均值算法选择的相似性度量通常是欧几里德距离的倒数,这种距离通常涉及所有的特征。
3
The Euclidean distance is usually chosen as the similaritymeasure in the conventional K-NN algorithm, which usually relates to all attributes.