Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Hybrid Particle Swarm Optimization for Data Clustering
Details
Data Clustering is process of organizing data into specific groups, the characteristics of which are unknown. Data clustering has been studied for a long time by many researchers with different methods. Traditional clustering techniques has some drawbacks. In this book, we deals with such limitations of traditional clustering techniques. To overcome these drawback we have selected 'Nature-Inspired / Swarm Intelligence' technique that is 'Particle Swarm Optimization (PSO)' for data clustering. As we know, nature is always a source of inspiration. In last few decades, the research is stimulated on new computing paradigms and result of this effort is emergence of new problem solving techniques. These techniques are widely used due to their decentralized and self-organized behaviour.
Autorentext
Pankaj G. Gaikwad Assist. Prof., CSE Dept. SVERI's College of Engg.,Pandharpur (413304) M.Tech(CSE), BE(CSE),Rahul G. Sonkamble Assist. Prof.(CSE Dept.) M. Tech (CSE), BE(IT) SVERI's College of Engg.,Pandharpur & Dr. Gajanan S. Gaikwad, Professor PhD.(Maths), M.Phil(Maths)(Head of Dept.Mathematics) Karmaveer Bhaurao Patil Mahavidyalaya, Pandharpur
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659795114
- Genre Maths
- Anzahl Seiten 84
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm x T6mm
- Jahr 2015
- EAN 9783659795114
- Format Kartonierter Einband
- ISBN 3659795119
- Veröffentlichung 05.11.2015
- Titel Hybrid Particle Swarm Optimization for Data Clustering
- Autor Pankaj G. Gaikwad , Rahul G. Sonkamble , Gajanan S. Gaikwad
- Untertitel Nature is always a source of inspiration...
- Gewicht 143g
- Sprache Englisch