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This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. Th
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Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing
Data Clustering: Theory, Algorithms, and Applications, Second Edition
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Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the
Computational Intelligence for Big Data Analysis
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The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientif
Data Mining and Knowledge Discovery with Evolutionary Algorithms
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the las