After that a linear skeleton topological similarity measure algorithm 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。

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The Euclidean distance is usually chosen as the similarity measure 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。

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The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.

传统的K-近邻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。

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