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Auteur : G. David Garson
Catégorie : Boutique Kindle,Ebooks Kindle,Ebooks en langues étrangères
Broché : * pages
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Langue : Français, Anglais

CLUSTER ANALYSIS OverviewAn illustrated tutorial and introduction to cluster analysis using SPSS, SAS, SAS Enterprise Miner, and Stata for examples. Suitable for introductory graduate-level study.The 2014 edition is a major update to the 2012 edition. Among the new features are these: Was 89 pages, now book length (207 pages total) Had 58 figures, now has over 170 illustrations Now covers Stata as well as SPSS and SAS Totally revised sections on hierarchical, k-means, and two-step clustering New coverage of nearest neighbor analysis New coverage of oblique principal components cluster analysis New coverage of nonparametric density cluster analysis New coverage of Kohonen self-organizing map (SOM) clustering Links to all datasets used in the text. Below is the unformatted partial table of contents.Table of ContentsCLUSTER ANALYSIS 1Overview10Data examples in this volume10Key Concepts and Terms12Terminology12Distances (proximities)12Cluster formation12Cluster validity12Types of cluster analysis14Types of cluster analysis by software package14Disjoint clustering15Hierarchical clustering15Overlapping clustering16Fuzzy clustering16Hierarchical cluster analysis in SPSS16SPSS Input for hierarchical clustering16Example16The main "Hierarchical Cluster Analysis" dialog17Statistics button18Plots button19Methods button20SPSS output for hierarchical cluster analysis21Proximity table21Cluster membership table22Agglomeration Schedule22Dendogram24Icicle plots27Summary measures28Hierarchical cluster analysis in SAS29SAS input for hierarchical cluster analysis29Example29Data setup29SAS syntax30SAS output for hierarchical cluster analysis31Simple statistics table31Eigenvalues of the covariance matrix table31Root mean square coefficients32Cluster history table33Dendogram34Icicle Plots36Cluster membership table36Saving data to file37Hierarchical cluster analysis in Stata38Stata input for hierarchical cluster analysis38Stata output for hierarchical cluster analysis40Agglomeration coefficients40Dendogram41Saving cluster membership values42Cluster membership table43K-means cluster analysis44Overview44Example45K-means cluster analysis in SPSS45SPSS input45Main K-means dialog45The Iterate button47The Save button48The Options button49SPSS Output for K-Means cluster analysis50The Anova table50Number of cases in each cluster51Getting different clusters52Cluster membership table52K-Means cluster analysis in SAS53Overview53Example54SAS input for k-means cluster analysis54SAS output for k-means cluster analysis55The "Statistics for Variables" table55Criteria for determining k57The "Cluster Summary" table60Cluster membership and distance values61Crosstabulation tables61Cluster separation plots62K-Means cluster analysis in Stata64Example64Stata input for k-means cluster analysis64The main kmeans clustering command64Obtaining descriptive statistics65Obtaining distance information65Obtaining cluster separation plots65Comparing kmeans and kmedian solutions66Stata output for k-means cluster analysis66Cluster membership assignments66Descriptive statistics67Distance coefficients69Cluster separation plots70Comparing kmeans and kmedians solutions71Two-step cluster analysis in SPSS72Overview72Cluster feature tree (CF tree)73Proximity73Example74SPSS input for two-step clustering74The main two-step clustering dialog74Options button dialog75Output button dialog78SPSS output for two-step clustering79Autoclustering table79Cluster distribution table81Centroids (cluster profiles) table81Model summary82The "Cluster Quality" graph82The "Cluster Sizes" pie chart82The "Predictor Importance" chart83

Télécharger Cluster Analysis: 2014 Edition (Statistical Associates Blue Book Series 24) (English Edition) de G. David Garson Francais PDF

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