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Więcej informacji o Clustering for Data Mining: A Data Recovery Approach

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Opis

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.

Szczegóły książki

• Pełny tytuł: Clustering for Data Mining: A Data Recovery Approach
• Autor: Boris Mirkin
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 266
• EAN: 9781584885344
• ISBN: 1584885343
• ID: 12326476
• Wydawca: Chapman & Hall
• Waga: 567 g
• Wymiary: 242 × 164 × 22 mm
• Data wydania: April 2005

Ulubione w innej kategorii

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