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The Quantitative Taxonomic Approach in Behavioral Science
Clustering Procedures and Design of an Empirical
Cluster Analysis of Treatment Environments
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0-ata set 0-inele linkrae 0-vraall rank 2.B Multidimen 4.A Single linkage 4.B Single 5.B Complete 5.C Complete linkage according to external according to inter-rater agglomerative archetypal patients archetypal psychiatric patients Chernoff's faces methods city-bl city-block distances classification clustering methods clustering procedures clustering process cophenetic correlation corr correlation coefficients criteria external criterion cross-classification tables data set Dendrogram representing dist ethnic populations data Euclid Euclidean distance evaluative criteria external external criterion validity four data bases groups hierarchical insight oriented iris data base Iris setosa iris specimens ISODATA 8.X linkage cluster analysis Mahalanobis distance manic multivariate NORMAP/NORMIX 10.X number of clusters obtained ordinal multidimensional scaling overall ranks paranoid schizophrenic patients data base Performance and ranking populations data base present study psychiatric patients data quantitative taxonomic methods rankings of quantitative ratio Relationship oriented Rubin-Friedman scal Sepal setosa similarity matrix single linkage methods statistic taxonomic methods according therapeutic community treatment environments data variables versicolor virginica