Step-Wise Clustering Procedures
作者:
Benjamin King,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1967)
卷期:
Volume 62,
issue 317
页码: 86-101
ISSN:0162-1459
年代: 1967
DOI:10.1080/01621459.1967.10482890
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A simple step-wise procedure for the clustering of variables is described. Two alternative criteria for the merger of groups at each pass are discussed: (1) maximization of the pairwise correlation between the centroids of two groups, and (2) minimization of Wilks’ statistic to test the hypothesis of independence between two groups. For a set of sample covariance matrices the step-wise solution for each criterion is compared with the optimal two-group separation of variables found by total enumeration of the possible groupings.
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