A Regression Analytic Modification of Ward’s Method: A Contribution to the Relation between Cluster Analysis and Factor Analysis
A regression analytic modification of the minimum variance method (Ward’s method) is outlined. In the proposed method the within-cluster sums of squares are partitioned into the proportion accounted for by the cluster centers and the residual variation. The procedure consists of fusing the two clusters that minimize the residual variation not predicted by the centers. The method allows for a combination of clustering and factor analysis in order to determine the kind of properties that govern the relationships between the clusters.
KeywordsResidual Variation Dimensional Representation Multivariate Observation Minimum Prediction Error Minimum Variance Method
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