Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
Language: English
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Hybrid Particle Swarm Optimization for Data Clustering | Nature is always a source of inspiration. | Pankaj G. Gaikwad (u. a.) | Taschenbuch | 84 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659795114 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Published by LAP LAMBERT Academic Publishing Nov 2015, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gaikwad Pankaj G.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.
Published by LAP LAMBERT Academic Publishing Nov 2015, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.