• Cluster Analysis and Data Mining An Introduction

Cluster Analysis and Data Mining An Introduction

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Overview

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. --

Product Details

ISBN-13: 9781938549380
ISBN-10: 1938549384
Publisher: Mercury Learning and Information
Publication date: 2015
Edition description: Har/Cdr
Pages: 315
Product dimensions: Height: 9 Inches, Length: 6.9 Inches, Weight: 1.19931470528 Pounds, Width: 0.7 Inches
Author: Ronald S. King
Language: en
Binding: Paperback

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