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Cluster analysis for applications
Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hi...
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| Lenguaje: | eng |
| Publicado: |
Academic Press
1973
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| Acceso en línea: | http://cds.cern.ch/record/2009957 |
| _version_ | 1780946473037332480 |
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| author | Anderberg, Michael R |
| author_facet | Anderberg, Michael R |
| author_sort | Anderberg, Michael R |
| collection | CERN |
| description | Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis.Comprised of 10 chapters, this book begins with an introduction to the subject o |
| id | cern-2009957 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 1973 |
| publisher | Academic Press |
| record_format | invenio |
| spelling | cern-20099572021-04-21T20:21:18Zhttp://cds.cern.ch/record/2009957engAnderberg, Michael RCluster analysis for applicationsMathematical Physics and MathematicsCluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis.Comprised of 10 chapters, this book begins with an introduction to the subject oAcademic Pressoai:cds.cern.ch:20099571973 |
| spellingShingle | Mathematical Physics and Mathematics Anderberg, Michael R Cluster analysis for applications |
| title | Cluster analysis for applications |
| title_full | Cluster analysis for applications |
| title_fullStr | Cluster analysis for applications |
| title_full_unstemmed | Cluster analysis for applications |
| title_short | Cluster analysis for applications |
| title_sort | cluster analysis for applications |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/2009957 |
| work_keys_str_mv | AT anderbergmichaelr clusteranalysisforapplications |