VECTOR DISSIMILARITY AND CLUSTERING

被引：1
|
作者：
LEFKOVITCH, LP
机构：
[1] Research Branch, Agriculture Canada, Research Program Service, Ottawa
来源：
MATHEMATICAL BIOSCIENCES | 1991年 / 104卷 / 01期
关键词：
D O I：
10.1016/0025-5564(91)90028-H
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Based on the description of objects by m attributes, an m-element vector dissimilarity function is defined that, unlike scalar functions, retains the distinction among attributes. This function, which satisfies the conditions for a metric, allows the definition of betweenness, which can then be used for clustering. Applications to the subset-generation phase of conditional clustering and to nearest-neighbor-type algorithms are described.
引用
收藏
页码：39 / 48
页数：10
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