{"product_id":"recent-advances-in-hybrid-metaheuristics-for-data-clustering-9781119551591","title":"Recent Advances in Hybrid Metaheuristics for Data Clustering","description":"\u003cp\u003e • Author(s): Sourav de\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eRecent Advances in Hybrid Metaheuristics for Data Clustering\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThe 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 counterparts *Offers an in-depth analysis of a range of optimization algorithms *Highlights a review of data clustering *Contains a detailed overview of different standard metaheuristics in current use *Presents a step-by-step guide to the build-up of hybrid metaheuristics *Offers real-life case studies and applications  \u003c\/p\u003e\u003cp\u003eWritten for researchers, students and academics in computer science, mathematics, and engineering, \u003ci\u003eRecent Advances in Hybrid Metaheuristics for Data Clustering\u003c\/i\u003e provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45201585930391,"sku":"9781119551591","price":9059.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781119551591.webp?v=1769207908","url":"https:\/\/atlanticbooks.com\/products\/recent-advances-in-hybrid-metaheuristics-for-data-clustering-9781119551591","provider":"Atlantic Books","version":"1.0","type":"link"}