Verwandte Artikel zu Recent Advances in Hybrid Metaheuristics for Data Clustering...
Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing) - Hardcover
Inhaltsangabe
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 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
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Sourav De, PhD, is an Associate Professor of Computer Science and Engineering at Cooch Behar Government Engineering College, West Bengal, India.
Sandip Dey, PhD, is an Assistant Professor of Computer Science at Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, India.
Siddhartha Bhattacharyya, PhD, is a Professor of Computer Science and Engineering at CHRIST (Deemed to be University), Bangalore, India.
Von der hinteren Coverseite
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 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
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagJohn Wiley & Sons Inc
- Erscheinungsdatum2020
- ISBN 10 1119551595
- ISBN 13 9781119551591
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten200
- HerausgeberDe Sourav, Dey Sandip, Bhattacharyya Siddhartha
- Kontakt zum HerstellerNicht verfügbar
Neu kaufen
Diesen Artikel anzeigen
EUR 118,36
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Recent Advances in Hybrid Metaheuristics for Data Clustering...
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Sourav De, PhD, is an Associate Professor of Computer Science and Engineering at Cooch Behar Government Engineering College, West Bengal, India.Sandip Dey, PhD, is an Assistant Professor of Computer Science at Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, In. Bestandsnummer des Verkäufers 342236884
Anzahl: 1 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 41480300-n
Anzahl: 14 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 41480300
Anzahl: 14 verfügbar
Beispielbild für diese ISBN
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 513. Bestandsnummer des Verkäufers B9781119551591
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers FW-9781119551591
Anzahl: 1 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware - An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniquesRecent 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 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 applicationsWritten 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. Bestandsnummer des Verkäufers 9781119551591
Anzahl: 1 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 41480300
Anzahl: 14 verfügbar
Beispielbild für diese ISBN
Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781119551591_new
Anzahl: 1 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 41480300-n
Anzahl: 14 verfügbar
Foto des Verkäufers
Recent Advances in Hybrid Metaheuristics for Data Clustering (Hardcover)
Verlag:
John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119551595
ISBN 13: 9781119551591
Neu
Hardcover
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. 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. "The book will elaborate on the fundamentals of different meta-heuristics and their application to data clustering. As a result, it will pave the way for designing and developing hybrid meta-heuristics to be applied to data clustering"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781119551591
Anzahl: 1 verfügbar