BASIC PROGRAM FOR A SIGNIFICANCE TEST FOR 2 CLUSTERS IN EUCLIDEAN SPACE AS MEASURED BY THEIR OVERLAP

被引:32
作者
SNEATH, PHA
机构
[1] Department of Microbiology, Leicester University, Leicester
关键词
Classification; Cluster analysis; Numerical taxonomy; Significance tests;
D O I
10.1016/0098-3004(79)90001-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A BASIC program, OVCLUST, is given for a significance test for the distinctness of a pair of clusters of points in Euclidean space. The input data may be given in one of three forms: (1) the coordinates of the points in the full space; (2) the distances of the points to the cluster centroids together with the intercentroid distance; or (3) the intercentroid distance and the standard deviations of projections of points onto the intercentroid axis. The method is based on an index of disjunction W that corresponds to a degree of overlap V. The test consists of ascertaining whether the observed overlap is significantly less than an expected overlap, by determining whether a t statistic derived from the observed overlap exceeds a noncentral t value for the expected degree of overlap. © 1979.
引用
收藏
页码:143 / 155
页数:13
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