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Book synopsis

The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of big data , detailing a theoretical framework for aggregating and validating clusters with K-means.

Book details

Book category Books in English Economics, finance, business & management Business & management Business mathematics & systems

• Full title: Advances in K-means Clustering
• Subtitle: A Data Mining Thinking
• Author: Junjie Wu
• Language: English
• Binding: Hardback
• Number of pages: 180
• EAN: 9783642298066
• ISBN: 3642298060
• ID: 01661033
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 465 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 10. July 2012

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