Sprache: Englisch
Verlag: Mercury Learning and Information, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Mercury Learning & Information, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
Anbieter: Books From California, Simi Valley, CA, USA
Paperback. Zustand: Very Good. Includes sealed DVD.
Sprache: Englisch
Verlag: Mercury Learning and Information, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Mercury Learning and Information, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 49,63
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Mercury Learning and Information, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
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EUR 26,81
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In den WarenkorbZustand: Fine. New u nused book, with gentle shelf wear at extremities. CD in sealed envelope.
Sprache: Englisch
Verlag: MERCURY LEARNING & INFORMATION, 2014
ISBN 10: 1938549384 ISBN 13: 9781938549380
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | 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. This book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics. It features: 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.