Cluster Analysis and Data Mining : : An Introduction /

Cluster Analysis and Data Mining : : An Introduction / / Ronald S. King.

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. Designed for training industry professionals or for a course...

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Bibliographic Details
VerfasserIn:
King, Ronald S.,
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2013]
©2013
Year of Publication:2013
Language:English
Online Access:
Physical Description:1 online resource (300 p.)
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Table of Contents:
  • Frontmatter
  • CONTENTS
  • Preface
  • Chapter 1: Introduction to Cluster Analysis
  • Chapter 2: Overview of Data Mining
  • Chapter 3: Hierarchical Clustering
  • Chapter 4: Partition Clustering
  • Chapter 5: Judgmental Analysis
  • Chapter 6: Fuzzy Clustering Models and Applications
  • Chapter 7: Classification and Association Rules
  • Chapter 8: Cluster Validity
  • Chapter 9: Clustering Categorical Data
  • Chapter 10: Mining Outliers
  • Chapter 11: Model-based Clustering
  • Chapter 12: General Issues
  • INDEX

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