A K-Means Cluster Analysis Computer Program With Cross-Tabulations and Next-Nearest-Neighbor Analysis
A cluster analysis computer program is presented which uses the K-Means algorithm to obtain partitions of multivariate data which have low within-class variance. The program provides a somewhat novel form of a next-nearest neighbor analysis, convenient cross tabulations for variables other than the...
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Veröffentlicht in: | Educational and psychological measurement 1980-04, Vol.40 (1), p.133-138 |
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creator | Lee, Howard B. Macqueen, James B. |
description | A cluster analysis computer program is presented which uses the K-Means algorithm to obtain partitions of multivariate data which have low within-class variance. The program provides a somewhat novel form of a next-nearest neighbor analysis, convenient cross tabulations for variables other than the ones used in the clustering, an efficient form of variable clustering, and approximate randomization tests for a variety of relationships. |
doi_str_mv | 10.1177/001316448004000118 |
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title | A K-Means Cluster Analysis Computer Program With Cross-Tabulations and Next-Nearest-Neighbor Analysis |
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