Cluster Analysis and Applications Paperback / softback
by Rudolf Scitovski, Kristian Sabo, Francisco Martinez-Alvarez, Sime Ungar
Paperback / softback
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Description
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods. With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:271 pages, 124 Illustrations, color; 7 Illustrations, black and white; X, 271 p. 131 illus., 124 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:24/07/2022
- Category:
- ISBN:9783030745547
Other Formats
- Hardback from £40.62
- EPUB from £38.24
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:271 pages, 124 Illustrations, color; 7 Illustrations, black and white; X, 271 p. 131 illus., 124 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:24/07/2022
- Category:
- ISBN:9783030745547