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
16 chapters available
