Heinemann Educational [for] the Social Science Research Council, 1974 - 122 páginas
A review of clustering techniques; A discussion of the problems of cluster analysis; An empirical investigation of some methods of cluster analysis; Using cluster analysis techniques in practice: some guide lines.
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A Review of Clustering Techniques
A Discussion of the Problems of Cluster Analysis
An Empirical Investigation of Some Methods of Cluster Analysis
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algorithm applied assignment associated assumed attempt authors average bivariate centroid Chapter classification cluster analysis clustering techniques complete considered consists containing correlation criteria criterion deciding defined dendrogram described detail difficulty discriminant discussed distance distance measures distributions division entities estimates Euclidean examined example factor fields function further give given groups hierarchical indicators individuals initial known later lead likelihood majority matrix maximum mean mean vector measure method metric minimization mixture multivariate normal distributions number of groups objects observations obtained optimization parameters particular partition perhaps plot points population possible present probably problem procedure produced proposed reasonable referred relatively Research sample scores separated set of data shape shown shows Sibson similarity similarity coefficient single linkage solutions space spherical stage statistic structure suggested sum of squares Table tion trace tree types variables various weight