Recent Advances in Hybrid Metaheuristics for Data Clustering
-
Form:Einzelkauf Download
-
Sprache:Englisch
-
eBook Format:ePUB 3
- PDF 110,99 €
- ePUB 3 110,99 € ausgewählt
110,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
02.06.2020
Herausgeber
Sourav De + weitereVerlag
Wiley-IsteSeitenzahl
200 (Printausgabe)
Dateigröße
9747 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781119551607
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 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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice