Classification

Author:   A.D. Gordon
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9780367399665


Pages:   272
Publication Date:   07 October 2019
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Classification


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Full Product Details

Author:   A.D. Gordon
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   2nd edition
Weight:   0.453kg
ISBN:  

9780367399665


ISBN 10:   0367399660
Pages:   272
Publication Date:   07 October 2019
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

This book provides an excellent and comprehensive overview of the classification literaturecontains a considerable amount of new materialall chapters of this book are a pleasure to readWhile the Preface states that the book's material have been used by honours students, in reality it can be used by statisticians and nonstatisticians alike. Indeed, anyone who has to deal with large multivariate sets of data will benefitIn all, this volume is a valuable and welcome addition to the literature. - Short Book Reviews of the ISI, April 2000 A statistician embarking on a classification analysis of a set of data is presented with a bewildering array of choicesHaving read this book, he or she will have an even wider methodological palette from which to choose. However, they should be better able to make informed choices. -The Statistician, Volume 49, Part 3 (2000) One of the attractive features of the book is that it illustrates the ideas by application to a variety of real data sets. Biometrics, Vol. 56, No. 3, September 2000 this book presents both a solid basis for understanding its content and an adequate synthesis of the current state of the discipline. -IEEE Engineering in Medicine and Biology, Auly/August/2002


"""This book provides an excellent and comprehensive overview of the classification literaturecontains a considerable amount of new materialall chapters of this book are a pleasure to readWhile the Preface states that the book's material have been used by honours students, in reality it can be used by statisticians and nonstatisticians alike. Indeed, anyone who has to deal with large multivariate sets of data will benefitIn all, this volume is a valuable and welcome addition to the literature."" - Short Book Reviews of the ISI, April 2000 ""A statistician embarking on a classification analysis of a set of data is presented with a bewildering array of choicesHaving read this book, he or she will have an even wider methodological palette from which to choose. However, they should be better able to make informed choices."" -The Statistician, Volume 49, Part 3 (2000) ""One of the attractive features of the book is that it illustrates the ideas by application to a variety of real data sets."" Biometrics, Vol. 56, No. 3, September 2000 ""this book presents both a solid basis for understanding its content and an adequate synthesis of the current state of the discipline."" -IEEE Engineering in Medicine and Biology, Auly/August/2002"


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Gordon, A.D.

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