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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2.A Multidimen 2ata 4.A Single 4.C Single linkage 5.B Complete 5.C Complete linkage A:-means according to external according to inter-rater agglomerative archetypal patients archetypal psychiatric patients Chernoff's faces 3.X Chernoff's faces methods city-bl city-block distances classification clustering methods clustering procedures clustering process cophenetic correlation corr correlation coefficients criteria external criterion criterion validity ICV cross-classification tables data set Dendrogram representing dist ethnic populations data Euclid Euclidean distance external criterion validity fc-Means four data bases gaclid groups iris data base Iris setosa iris specimens ISODATA 8.X linkage cluster analysis Mahalanobis distance manic 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 Q-factor analysis 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