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Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing) by Sourav De (editor), Sandip Dey (editor), Siddhartha Bhattacharyya (editor) is a nonfiction available to read on EtoBox.
What is Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing) about?
An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors—noted experts on the topic—provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheurist
Who reads Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sourav De (editor), Sandip Dey (editor), Siddhartha Bhattacharyya (editor)
- Publisher
- John Wiley & Sons, Incorporated
- Published
- 2020
- Language
- EN
- ISBN
- 9781119551591
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Programming
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