Cluster analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Beverly Hills, Calif.
Sage Publications
©1984
|
| Schriftenreihe: | Quantitative applications in the social sciences
no. 07-044 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references (pages 84-87) 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 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 |
| Beschreibung: | 1 Online-Ressource (88 pages) |
| ISBN: | 0585180873 9780585180878 9781412983648 1412983649 |
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| 490 | 0 | |a Quantitative applications in the social sciences |v no. 07-044 | |
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| 500 | |a Includes bibliographical references (pages 84-87) | ||
| 500 | |a 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 | ||
| 500 | |a 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 | ||
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| 650 | 4 | |a Social Sciences / methods / Statistics | |
| 650 | 4 | |a Sciences sociales / Méthodes statistiques | |
| 650 | 4 | |a Classification automatique (Statistique) | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / Multivariate Analysis |2 bisacsh | |
| 650 | 7 | |a Cluster analysis |2 fast | |
| 650 | 7 | |a Social sciences / Statistical methods |2 fast | |
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Datensatz im Suchindex
| _version_ | 1804175620797628416 |
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| any_adam_object | |
| author | Aldenderfer, Mark 1950- |
| author_GND | (DE-588)1042351864 |
| author_facet | Aldenderfer, Mark 1950- |
| author_role | aut |
| author_sort | Aldenderfer, Mark 1950- |
| author_variant | m a ma |
| building | Verbundindex |
| bvnumber | BV043155819 |
| classification_rvk | MR 2100 MR 2200 QH 200 QH 234 QH 240 SK 840 |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)44959886 (DE-599)BVBBV043155819 |
| dewey-full | 519.5/35 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/35 |
| dewey-search | 519.5/35 |
| dewey-sort | 3519.5 235 |
| dewey-tens | 510 - Mathematics |
| discipline | Soziologie Mathematik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV043155819 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:19:11Z |
| institution | BVB |
| isbn | 0585180873 9780585180878 9781412983648 1412983649 |
| language | English |
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| open_access_boolean | |
| physical | 1 Online-Ressource (88 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 1984 |
| publishDateSearch | 1984 |
| publishDateSort | 1984 |
| publisher | Sage Publications |
| record_format | marc |
| series2 | Quantitative applications in the social sciences |
| spelling | Aldenderfer, Mark 1950- Verfasser (DE-588)1042351864 aut Cluster analysis Mark S. Aldenderfer, Roger K. Blashfield Beverly Hills, Calif. Sage Publications ©1984 1 Online-Ressource (88 pages) txt rdacontent c rdamedia cr rdacarrier Quantitative applications in the social sciences no. 07-044 Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references (pages 84-87) 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 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 Cluster Analysis Social Sciences / methods / Statistics Sciences sociales / Méthodes statistiques Classification automatique (Statistique) MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Cluster analysis fast Social sciences / Statistical methods fast Clusteranalyse gtt Sociologia (Pesquisa E Metodologia) larpcal Cluster-Analyse swd Soziologie swd Sozialwissenschaften Statistik Social sciences Statistical methods Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 s Soziologie (DE-588)4077624-4 s 1\p DE-604 Blashfield, Roger K. Sonstige oth Erscheint auch als Druck-Ausgabe, Paperback 0-8039-2376-7 Erscheint auch als Druck-Ausgabe, Paperback 978-0-8039-2376-8 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=24703 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Aldenderfer, Mark 1950- Cluster analysis Cluster Analysis Social Sciences / methods / Statistics Sciences sociales / Méthodes statistiques Classification automatique (Statistique) MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Cluster analysis fast Social sciences / Statistical methods fast Clusteranalyse gtt Sociologia (Pesquisa E Metodologia) larpcal Cluster-Analyse swd Soziologie swd Sozialwissenschaften Statistik Social sciences Statistical methods Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd Soziologie (DE-588)4077624-4 gnd |
| subject_GND | (DE-588)4070044-6 (DE-588)4077624-4 |
| title | Cluster analysis |
| title_auth | Cluster analysis |
| title_exact_search | Cluster analysis |
| title_full | Cluster analysis Mark S. Aldenderfer, Roger K. Blashfield |
| title_fullStr | Cluster analysis Mark S. Aldenderfer, Roger K. Blashfield |
| title_full_unstemmed | Cluster analysis Mark S. Aldenderfer, Roger K. Blashfield |
| title_short | Cluster analysis |
| title_sort | cluster analysis |
| topic | Cluster Analysis Social Sciences / methods / Statistics Sciences sociales / Méthodes statistiques Classification automatique (Statistique) MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Cluster analysis fast Social sciences / Statistical methods fast Clusteranalyse gtt Sociologia (Pesquisa E Metodologia) larpcal Cluster-Analyse swd Soziologie swd Sozialwissenschaften Statistik Social sciences Statistical methods Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd Soziologie (DE-588)4077624-4 gnd |
| topic_facet | Cluster Analysis Social Sciences / methods / Statistics Sciences sociales / Méthodes statistiques Classification automatique (Statistique) MATHEMATICS / Probability & Statistics / Multivariate Analysis Cluster analysis Social sciences / Statistical methods Clusteranalyse Sociologia (Pesquisa E Metodologia) Cluster-Analyse Soziologie Sozialwissenschaften Statistik Social sciences Statistical methods |
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| work_keys_str_mv | AT aldenderfermark clusteranalysis AT blashfieldrogerk clusteranalysis |