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" Cluster analysis and data mining : "
R.S. King.
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BL
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| Record Number
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858015
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| Main Entry
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King, Ronald S.,1943-
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| Title & Author
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Cluster analysis and data mining : : an introduction /\ R.S. King.
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| Publication Statement
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Dulles, Virginia ;Boston, Massachusetts ;New Delhi :: Mercury Learning and Information,, [2015]
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, ©2015
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| Page. NO
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1 online resource :: illustrations
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| ISBN
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1938549392
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: 9781938549397
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1942270135
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9781938549380
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9781942270133
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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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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| Abstract
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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. --
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| Subject
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Cluster analysis.
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Data mining.
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Cluster analysis.
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Data mining.
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MATHEMATICS-- Applied.
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MATHEMATICS-- Probability Statistics-- General.
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| Dewey Classification
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519.5/3
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| LC Classification
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QA278.K56 2015eb
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