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• catalog abstract "This book is designed to be an introduction to cluster analysis for those with no background and for those who need an up-to-date and systematic guide through the maze of concepts, techniques, and algorithms associated with the clustering data. The authors begin by discussing measures of similarity, the input needed to perform any clustering analysis. They note varying theoretical meanings of the concept and discuss the set of empirical measures most commonly used to measure similarity. Various methods for actually identifying the clusters are then described. Finally, they discuss procedures for validating the adequacy of a cluster analysis. At all points, the differing concepts and techniques are compared and evaluated.".
• catalog contributor b1728783.
• catalog contributor b1728784.
• catalog created "c1984.".
• catalog date "1984".
• catalog date "c1984.".
• catalog dateCopyrighted "c1984.".
• catalog description "1. Introduction. How clustering methods are used -- Data sets to be used as examples -- A few cautions about cluster analysis -- 2. Similarity measures. Terminology -- The concept of similarity -- The choice of variables -- Similarity measures -- 3. A review of clustering methods. On the nature of clusters -- Hierarchical agglomerative methods -- Iterative partitioning methods -- Factor analysis variants -- Other methods -- Determining the number of clusters -- Comparing clustering methods -- 4. Validation techniques. Cophenetic correlation -- Significance tests on variables used to create clusters -- Replication -- Significance tests on external variables -- Monte Carlo procedures -- 5. Cluster analysis software and the literature on clustering -- Collections of subroutines and algorithms -- Statistical packages containing clustering software -- Cluster analysis packages -- Simple cluster analysis programs -- The literature on cluster analysis -- Guide to reporting cluster analysis studies -- Appendix. Example data sets (burial data) -- Notes -- References -- About the authors.".
• catalog description "Bibliography: p. 84-87.".
• catalog description "This book is designed to be an introduction to cluster analysis for those with no background and for those who need an up-to-date and systematic guide through the maze of concepts, techniques, and algorithms associated with the clustering data. The authors begin by discussing measures of similarity, the input needed to perform any clustering analysis. They note varying theoretical meanings of the concept and discuss the set of empirical measures most commonly used to measure similarity. Various methods for actually identifying the clusters are then described. Finally, they discuss procedures for validating the adequacy of a cluster analysis. At all points, the differing concepts and techniques are compared and evaluated.".
• catalog extent "88 p. :".
• catalog hasFormat "Cluster analysis.".
• catalog identifier "0803923767 (pbk.) :".
• catalog isFormatOf "Cluster analysis.".
• catalog isPartOf "Quantitative applications in the social sciences ; no. 07-044.".
• catalog isPartOf "Sage university papers series. Quantitative applications in the social sciences ; no. 07-044".
• catalog issued "1984".
• catalog issued "c1984.".
• catalog language "eng".
• catalog publisher "Beverly Hills : Sage Publications,".
• catalog relation "Cluster analysis.".
• catalog subject "519.5/35 19".
• catalog subject "Cluster Analysis.".
• catalog subject "Cluster analysis".
• catalog subject "Cluster analysis.".
• catalog subject "HA29 .A49 1984".
• catalog subject "QA 278 A359c 1984".
• catalog subject "Social Sciences methods Statistics.".
• catalog subject "Social sciences Statistical methods.".
• catalog subject "Sociologia (Pesquisa E Metodologia) larpcal".
• catalog tableOfContents "1. Introduction. How clustering methods are used -- Data sets to be used as examples -- A few cautions about cluster analysis -- 2. Similarity measures. Terminology -- The concept of similarity -- The choice of variables -- Similarity measures -- 3. A review of clustering methods. On the nature of clusters -- Hierarchical agglomerative methods -- Iterative partitioning methods -- Factor analysis variants -- Other methods -- Determining the number of clusters -- Comparing clustering methods -- 4. Validation techniques. Cophenetic correlation -- Significance tests on variables used to create clusters -- Replication -- Significance tests on external variables -- Monte Carlo procedures -- 5. Cluster analysis software and the literature on clustering -- Collections of subroutines and algorithms -- Statistical packages containing clustering software -- Cluster analysis packages -- Simple cluster analysis programs -- The literature on cluster analysis -- Guide to reporting cluster analysis studies -- Appendix. Example data sets (burial data) -- Notes -- References -- About the authors.".
• catalog title "Cluster analysis / Mark S. Aldenderfer, Roger K. Blashfield.".
• catalog type "text".