Description: Further DetailsTitle: Recent Advances in Hybrid Metaheuristics for Data ClusteringCondition: NewEAN: 9781119551591ISBN: 9781119551591Publisher: John Wiley & Sons IncFormat: HardbackRelease Date: 06/25/2020Item Height: 249mmItem Length: 170mmItem Width: 17mmItem Weight: 510gLanguage: EnglishDescription: 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 authorsnoted experts on the topicprovide 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 metaheuristics as related to their conventional counterpartsOffers an in-depth analysis of a range of optimization algorithmsHighlights a review of data clusteringContains a detailed overview of different standard metaheuristics in current usePresents a step-by-step guide to the build-up of hybrid metaheuristicsOffers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.Country/Region of Manufacture: USGenre: Computing & InternetTopic: Technology & EngineeringContributor: Sourav De (Edited by), Siddhartha Bhattacharyya (Edited by), Sandip Dey (Edited by)Author: Sourav DeBook Series: Wiley Series in Intelligent Signal and Data ProcessingRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Recent Advances in Hybrid Metaheuristics for Data Clustering
Title: Recent Advances in Hybrid Metaheuristics for Data Clustering
EAN: 9781119551591
ISBN: 9781119551591
Release Date: 06/25/2020
Release Year: 2020
Country/Region of Manufacture: US
Genre: Computing & Internet
Topic: Technology & Engineering
Contributor: Sandip Dey (Edited by)
Number of Pages: 200 Pages
Language: English
Publication Name: Recent Advances in Hybrid Metaheuristics for Data Clustering
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2020
Item Height: 0.6 in
Subject: Programming / Algorithms, General
Type: Textbook
Item Weight: 17.6 Oz
Subject Area: Mathematics, Computers
Author: Sandip Dey
Item Length: 9.7 in
Series: The Wiley Series in Intelligent Signal and Data Processing Ser.
Item Width: 6.8 in
Format: Hardcover
