Taxonomy and Behavioral Science: Comparative Performance of Grouping MethodsThe 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. |
Contents
The Quantitative Taxonomic Approach in Behavioral Science | 1 |
Cluster Analysis of Treatment Environments | 35 |
Cluster Analysis of Iris Specimens | 84 |
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1.A Q-factor analysis 2.B Multidimen 3.X Chernoff's faces 4.B Single 4.C Single linkage 5.B Complete linkage 7.B k-Means according to external agglomerative archetypal psychiatric patients Chernoff's faces 3.X Chernoff's faces methods city-bl city-block distances classification clustering methods clustering procedures complete linkage method cophenetic correlation corr Correlation Coef correlation coefficients cross-classification tables data base Quantitative Data Data Avg data set Dendrogram representing dist entities ethnic populations data Euclid Euclidean distance external criterion validity four data bases groups iris data base Iris setosa Iris virginica ISODATA 8.X linkage cluster analysis Linkage-HICLUS Mahalanobis distance mean intercorrelations multidimensional scaling representation multivariate NORMAP/NORMIX 10.X NORMIX number of clusters obtained ordinal multidimensional scaling Performance and ranking populations data base psychiatric patients data quantitative taxonomic methods Rank Data Data rank rank rank rankings of quantitative ratio Rubin-Friedman scal Sepal set set set setosa similarity matrix single linkage method taxonomic methods according three relationship measures variables virginica