Elementary Cluster Analysis

Elementary Cluster Analysis

James C. Bezdek PhD, 2021

Overview

While packaged clustering programs offer accessibility, many users overlook the inherent dangers. This book serves as a cautionary guide, emphasizing that cluster analysis is as much an art as a science. It delves into four classical methods for analyzing small, static datasets that have proven their reliability over time. These methods include Gaussian Mixture Decomposition (1898), SAHN Clustering (1909), Hard c-means (1956), and Fuzzy c-means (1973).

Who it's for

• Beginners and non-specialists seeking to understand the fundamentals of cluster analysis.
• Users who want to learn about the potential pitfalls and practical challenges of clustering algorithms.
• Individuals interested in classical, time-tested clustering techniques.

Key features

• Language: English
• Pages: 550
• Binding: Hardback
• ISBN: 9788770224253
• Publisher: Eurospan
• Year: 2021