The book is currently out of stock

Parameters
- Pages
- 196 pages
- Reading time
- 7 hours
More about the book
Focusing on the K-means algorithm, this award-winning research explores its innovative application within big data contexts. It presents a comprehensive theoretical framework designed for effectively aggregating and validating clusters, making significant contributions to the fields of data mining and business intelligence.
Book purchase
Advances in K-means Clustering, Junjie Wu
- Language
- Released
- 2014
- product-detail.submit-box.info.binding
- (Paperback)
We’ll email you as soon as we track it down.
Payment methods
We’re missing your review here.