Data Clustering in C++: An Object-Oriented Approach

✍ Scribed by Guojun Gan

• Publisher: CRC Press
• Year: 2011
• Tongue: English
• Leaves: 512
• Category: Library

✦ Synopsis

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However,

✦ Table of Contents

Front Cover
Dedication
Contents
List of Figures
List of Tables
Preface
I. Data Clustering and C++ Preliminaries
1. Introduction to Data Clustering
2. The Unified Modeling Language
3. Object-Oriented Programming and C++
4. DesignPatterns
5. C++ Libraries and Tools
II. A C++ Data Clustering Framework
6. The Clustering Library
7. Datasets
8. Clusters
9. Dissimilarity Measures
10. Clustering Algorithms
11. Utility Classes
III. Data Clustering Algorithms
12. Agglomerative Hierarchical Algorithms
13. DIANA
14. The k-means Algorithm
15. The c-means Algorithm
16. The k-prototypes Algorithm
17. The Genetic k-modes Algorithm
18. The FSC Algorithm
19. The Gaussian Mixture Algorithm
20. A Parallel k-means Algorithm
A. Exercises and Projects
B. Listings
C. Software
Bibliography