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 computer sciences. This book is applicable to either a course on clustering and cl...
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| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dulles, Virginia ; Boston, Massachusetts ; New Delhi :
Mercury Learning and Information,
[2015]
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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 computer sciences. This book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics. This book puts emphasis on illustrating the underlying logic in making decisions during the cluster analysis; brings out the related applications of statistics: Ward's method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.); and includes separate chapters on JAN and the clustering of categorical data. -- |
| Beschreibung: | 1 online resource : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781938549397 1938549392 |
Internformat
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| 520 | |a 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 computer sciences. This book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics. This book puts emphasis on illustrating the underlying logic in making decisions during the cluster analysis; brings out the related applications of statistics: Ward's method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.); and includes separate chapters on JAN and the clustering of categorical data. -- |c Edited summary from book. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction to cluster analysis -- Overview of data mining -- Hierarchical clustering -- Partition clustering -- Judgmental analysis -- Fuzzy clustering models and applications -- Classification and association rules -- Cluster validity -- Clustering categorical data -- Mining outliers -- Model-based clustering -- General issues. | |
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| author | King, Ronald S., 1943- |
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| contents | Introduction to cluster analysis -- Overview of data mining -- Hierarchical clustering -- Partition clustering -- Judgmental analysis -- Fuzzy clustering models and applications -- Classification and association rules -- Cluster validity -- Clustering categorical data -- Mining outliers -- Model-based clustering -- General issues. |
| ctrlnum | (OCoLC)904169973 |
| dewey-full | 519.5/3 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn904169973 |
| illustrated | Illustrated |
| indexdate | 2024-10-25T16:22:29Z |
| institution | BVB |
| isbn | 9781938549397 1938549392 |
| language | English |
| oclc_num | 904169973 |
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| spelling | King, Ronald S., 1943- author. https://id.oclc.org/worldcat/entity/E39PCjMw6djf4MgcDPjrqFcgKd http://id.loc.gov/authorities/names/n81143295 Cluster analysis and data mining : an introduction / R.S. King. Dulles, Virginia ; Boston, Massachusetts ; New Delhi : Mercury Learning and Information, [2015] ©2015 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from title screen (Books24x7.com, viewed January 31, 2015). 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 computer sciences. This book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics. This book puts emphasis on illustrating the underlying logic in making decisions during the cluster analysis; brings out the related applications of statistics: Ward's method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.); and includes separate chapters on JAN and the clustering of categorical data. -- Edited summary from book. Includes bibliographical references and index. Introduction to cluster analysis -- Overview of data mining -- Hierarchical clustering -- Partition clustering -- Judgmental analysis -- Fuzzy clustering models and applications -- Classification and association rules -- Cluster validity -- Clustering categorical data -- Mining outliers -- Model-based clustering -- General issues. Cluster analysis. http://id.loc.gov/authorities/subjects/sh85027250 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Classification automatique (Statistique) Exploration de données (Informatique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Cluster analysis fast Data mining fast has work: Cluster analysis and data mining (Text) https://id.oclc.org/worldcat/entity/E39PCFP4dFGDYrpBhxGyHYXtDq https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1809107 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1809107 Volltext |
| spellingShingle | King, Ronald S., 1943- Cluster analysis and data mining : an introduction / Introduction to cluster analysis -- Overview of data mining -- Hierarchical clustering -- Partition clustering -- Judgmental analysis -- Fuzzy clustering models and applications -- Classification and association rules -- Cluster validity -- Clustering categorical data -- Mining outliers -- Model-based clustering -- General issues. Cluster analysis. http://id.loc.gov/authorities/subjects/sh85027250 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Classification automatique (Statistique) Exploration de données (Informatique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Cluster analysis fast Data mining fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85027250 http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 |
| 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_full | Cluster analysis and data mining : an introduction / R.S. King. |
| title_fullStr | Cluster analysis and data mining : an introduction / R.S. King. |
| title_full_unstemmed | Cluster analysis and data mining : an introduction / R.S. King. |
| title_short | Cluster analysis and data mining : |
| title_sort | cluster analysis and data mining an introduction |
| title_sub | an introduction / |
| topic | Cluster analysis. http://id.loc.gov/authorities/subjects/sh85027250 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Classification automatique (Statistique) Exploration de données (Informatique) MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Cluster analysis fast Data mining fast |
| topic_facet | Cluster analysis. Data mining. Data Mining Classification automatique (Statistique) Exploration de données (Informatique) MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Cluster analysis Data mining |
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