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Data Clustering
Theory, Algorithms, And Applications
language: english
Publisher:
SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S., December of 2020 ‧
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SYNOPSIS
Data clustering is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this book, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9781611976328 |
| Publisher: | SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S. |
| Release Date: | December of 2020 |
| Language: | English |
| Dimensions: | 258 x 253 x 28 mm |
| Cover: | Softcover |
| Pages: | 406 |
| Format: | Book |
| Collection: | Mathematics In Industry |
| Categories: |
Books in English
>
Science
>
Mathematics
Books in English > Others |
| EAN: | 9781611976328 |
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