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A process for the cluster formation dependent from one another in a multi-dimensional data

机译:在多维数据中相互依赖的集群形成过程

摘要

A method of clustering multi-dimensional related data performed by identifying features from a collection of data, each of said features being represented by a vertex, selecting pairs of features that it is desirable to cluster together, connecting the pair of vertices representing every selected pair of features by an edge, assigning a score to every edge according to a predetermined formula, selecting an edge having the highest score, creating a new vertex by merging the vertices connected by the selected edge, creating new edges between the new vertex and the vertices previously connected to the merged vertices, and repeating this procedure until every edge has a predetermined score.
机译:一种通过从一组数据中识别特征来对多维相关数据进行聚类的方法,每个所述特征由一个顶点表示,选择希望聚类在一起的成对特征,将代表每个选定对的一对顶点连接起来边缘的特征,根据预定公式为每个边缘分配分数,选择分数最高的边缘,通过合并选定边缘连接的顶点来创建新顶点,在新顶点和顶点之间创建新边缘预先连接到合并的顶点,然后重复此过程,直到每个边都具有预定分数。

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