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- Clustering for Data Mining: A Data Recovery Approach
Clustering for Data Mining: A Data Recovery Approach
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Clustering is a discipline concerned with finding and describing cohesive groups, or clusters, in data. It is a key area of data mining and knowledge discovery topics devoted to finding hidden patterns of information in databases. This book covers a number of clustering methods in detail, unifying them in a consistent framework. It includes key issues such as data pre-processing, parameter setting, feature selection, and cluster validation, as well as a selection of examples that are followed throughout the book. It also offers techniques for data recovery clustering. This is an accessible book written with a minimal amount of mathematics, suitable for graduate level coursework or professional interest.
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