Classification Monographs on Statistics and Applied Probability, 82

Gordon, A. D.:

ISBN 10: 1584880139 / ISBN 13: 9781584880134

Published by Chapmann & Hall, 1999

About this Item

256 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 2159160

Bibliographic Details

• Title: Classification Monographs on Statistics and Applied Probability, 82
• Publisher: Chapmann & Hall
• Publication Date: 1999
• Language: English
• ISBN 10: 1584880139
• ISBN 13: 9781584880134
• Binding: gebundene Ausgabe
• Edition: 2. Auflage;.
• Condition: Gut
• Weight: 550 grams
• Seller catalogs:
  • 200 Mathematik

About this title

Synopsis

As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just that-investigates sets of "objects" to see if they can be summarized into a small number of classes comprising similar objects.Researchers have made great strides in the field over the last twenty years, and classification is no longer perceived as being concerned solely with exploratory analyses. The second edition of Classification incorporates many of the new and powerful methodologies developed since its first edition. Like its predecessor, this edition describes both clustering and graphical methods of representing data, and offers advice on how to decide which methods of analysis best apply to a particular data set. It goes even further, however, by providing critical overviews of recent developments not widely known, including efficient clustering algorithms, cluster validation, consensus classifications, and the classification of symbolic data.The author has taken an approach accessible to researchers in the wide variety of disciplines that can benefit from classification analysis and methods. He illustrates the methodologies by applying them to data sets-smaller sets given in the text, larger ones available through a Web site.Large multivariate data sets can be difficult to comprehend-the sheer volume and complexity can prove overwhelming. Classification methods provide efficient, accurate ways to make them less unwieldy and extract more information. Classification, Second Edition offers the ideal vehicle for gaining the background and learning the methodologies-and begin putting these techniques to use.

About the Author

Gordon, A.D.