Taxonomy and behavioral science: comparative performance of grouping methods
The quantitative taxonomic approach in behavior science; Clustering procedures and design of an empirical evaluation of quantitative taxonomic methods; Cluster analysis of treatment environments; Cluster analysis of archetypal psychiatric patients; Cluster analysis of iris specimens; Cluster analysis of ethnic populations; Comparative performance of quantitative taxonomic methods across data bases; Cluster analysis of quantitative taxonomic methods.
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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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0ank 2.B Multidimen 4.B Single linkage A:-means according to external according to inter-rater agglomerative Aingle archetypal patients archetypal psychiatric patients Chernoff's faces 3.X Chernoff's faces methods city-bl city-block distances classification cluster analysis clustering methods clustering procedures clustering process coef complete linkage cophenetic correlation corr Correlation Coef correlation coefficients Cramer's statistic 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 insight oriented iris data base 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 Rubin-Friedman scal Sepal setosa similarity matrix single linkage methods taxonomic methods according therapeutic community treatment environments data variables versicolor virginica