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Data Clustering by Chandan K. Reddy, Charu C. Aggarwal

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Preface

The problem of clustering is perhaps one of the most widely studied in the data mining and machine learning communities. This problem has been studied by researchers from several disciplines over five decades. Applications of clustering include a wide variety of problem domains such as text, multimedia, social networks, and biological data. Furthermore, the problem may be encountered in a number of different scenarios such as streaming or uncertain data. Clustering is a rather diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario.

Therefore, this book will focus on three primary aspects of data clustering. The first set of chapters will focus on the core methods for data clustering. These ...

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