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Data Analysis in Bi-Partial Perspective: Clustering and Beyond
Paperback
Series: Studies in Computational Intelligence, Book 818
Technology & EngineeringGeneral Computers
ISBN13: 9783030133917
Publisher: Springer Nature
Published: Aug 14 2020
Pages: 153
Weight: 0.56
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
This book presents the bi-partial approach to data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate representation of the essential clustering problem: to group together the similar, and to separate the dissimilar. This leads to a general objective function and subsequently to a broad class of concrete implementations. Using this basis, a suboptimising procedure can be developed, together with a variety of implementations.
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