Cluster Analysis and Data Mining: An Introduction
Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Herndon
Mercury Learning and Information
[2013]
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAB01 FCO01 FHA01 FKE01 FLA01 UPA01 URL des Erstveröffentlichers |
| Zusammenfassung: | Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc.eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.FEATURES*Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward's method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.)*Contains separate chapters on JAN and the clustering of categorical data*Includes a companion disc with solutions to exercises, programs, data sets, charts, etc |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Beschreibung: | 1 Online-Ressource (300 Seiten) |
| ISBN: | 9781938549397 |
| DOI: | 10.1515/9781938549397 |
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Datensatz im Suchindex
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| spelling | King, Ronald S. Verfasser aut Cluster Analysis and Data Mining An Introduction Ronald S. King Herndon Mercury Learning and Information [2013] © 2013 1 Online-Ressource (300 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc.eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.FEATURES*Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward's method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.)*Contains separate chapters on JAN and the clustering of categorical data*Includes a companion disc with solutions to exercises, programs, data sets, charts, etc In English Data COMPUTERS / Database Management / Data Mining bisacsh Cluster analysis Data mining Erscheint auch als Druck-Ausgabe 9781938549380 https://doi.org/10.1515/9781938549397?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | King, Ronald S. Cluster Analysis and Data Mining An Introduction Data COMPUTERS / Database Management / Data Mining bisacsh Cluster analysis Data mining |
| title | Cluster Analysis and Data Mining An Introduction |
| title_auth | Cluster Analysis and Data Mining An Introduction |
| title_exact_search | Cluster Analysis and Data Mining An Introduction |
| title_exact_search_txtP | Cluster Analysis and Data Mining An Introduction |
| title_full | Cluster Analysis and Data Mining An Introduction Ronald S. King |
| title_fullStr | Cluster Analysis and Data Mining An Introduction Ronald S. King |
| title_full_unstemmed | Cluster Analysis and Data Mining An Introduction Ronald S. King |
| title_short | Cluster Analysis and Data Mining |
| title_sort | cluster analysis and data mining an introduction |
| title_sub | An Introduction |
| topic | Data COMPUTERS / Database Management / Data Mining bisacsh Cluster analysis Data mining |
| topic_facet | Data COMPUTERS / Database Management / Data Mining Cluster analysis Data mining |
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