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

By (author)Guojun Gan

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, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve their data clustering algorithms.

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Using object-oriented design and programming techniques, Data Clustering in C++ exploits the commonalities of all data clustering algorithms to create a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. Readers can follow the development of the base data clustering classes and several popular data clustering algorithms. Additional topics such as data pre-processing, data visualization, cluster visualization, and cluster interpretation are briefly covered.

SKU: 9781439862230
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Weight 1 kg
Dimensions 24 × 16 × 3 cm
Book Author

Guojun Gan

Edition

1st

Format

Hardback

ISBN

9781439862230

Language

English

Pages

520

Publication Year

Publisher

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