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METHOD FOR CALCULATING CLUSTERING EVALUATION VALUE, AND METHOD FOR DETERMINING NUMBER OF CLUSTERS

机译:聚类评估值的计算方法和聚类数的确定方法

摘要

Provided is a method for calculating an evaluation score of clustering quality, based on the number of clusters into which a plurality of data is clustered. The calculating the evaluation score includes: calculating a degree of internal compactness that is a sum of values, each being defined by normalizing a first index value by a first value that is based on a number of data within each cluster, the first index value indicating a degree of dispersion of data within each cluster; calculating a degree of external separation defined by normalizing a sum of a second index value for each cluster by a second value that is based on the number of clusters, the second index value indicating an index of a distance between the clusters; and calculating the evaluation score according to a predetermined formula having, as variables, the degree of internal compactness and the degree of external separation.
机译:提供了一种用于基于聚类多个数据的聚类的数量来计算聚类质量的评价得分的方法。计算评估得分包括:计算作为值之和的内部紧凑度,每个内部紧凑度是通过将第一索引值通过基于每个群集内的数据数量的第一值归一化而定义的,第一索引值指示每个集群中数据的分散程度;计算通过将每个簇的第二指标值之和通过基于簇数量的第二值归一化而定义的外部分离度,该第二指标值指示簇之间的距离的指标;根据内部密实度和外部分离度作为变量的预定公式计算评价分数。

著录项

  • 公开/公告号US2020272861A1

    专利类型

  • 公开/公告日2020-08-27

    原文格式PDF

  • 申请/专利权人 TOHOKU UNIVERSITY;

    申请/专利号US201816634512

  • 发明设计人 TETSU ENDOH;HUI SHEN;

    申请日2018-07-05

  • 分类号G06K9/62;G06N20;

  • 国家 US

  • 入库时间 2022-08-21 11:22:57

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