Cluster Analysis and Data Mining: An Introduction - Softcover

King, Ronald S.

Softcover

ISBN 10: 1938549384 ISBN 13: 9781938549380

Publisher: Mercury Learning and Information, 2014

Synopsis

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. This book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics.

Features:
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.)
Includes separate chapters on JAN and the clustering of categorical data

Brief Table of Contents:
1: Introduction to Cluster Analysis. 2: Overview of Data Mining. 3: Hierarchical Clustering. 4: Partition Clustering. 5: Judgmental Analysis. 6: Fuzzy Clustering Models and Applications. 7: Classification and Association Rules. 8: Cluster Validity. 9: Clustering Categorical Data. 10: Mining Outliers. 11: Model-based Clustering. 12: General Issues. Appendices.

About this title

About the Author

Spanning a career of four decades of teaching and administration at multiple universities, Dr. RONALD S. KING brings a unique perspective to the fields of statistics, computer science, and information systems. His lifetime career publications have made numerous contributions to these fields and he currently teaches online courses for Tarleton State University.

Edition details

• Publisher: Mercury Learning and Information
• Publication date: 2014
• Language: English
• ISBN 10: 1938549384
• ISBN 13: 9781938549380
• Binding: Perfect Paperback
• Edition number: 1
• Number of pages: 100