Articoli correlati a Clustering Algorithms for Biological Data
Sinossi
With the recent advances of data generation and acquisition systems and the success of several projects such as Human Genome, a large number of databases, especially in biological field are now available worldwide. The growing rate of such databases is also exponential. There is a need to explore and analyze such massive data to infer some inherent information. Clustering has been recognized as one of the widely used data mining techniques which is essential for data analysis to reveal natural structures and to identify interesting patterns in the underlying data. In the last decade, significant amount of research work has been carried out on cluster analysis and a large number of algorithms have been developed, particularly for biological data. Recently, much attention has been paid to develop various clustering algorithms based on neighborhood graphs such as minimum spanning tree (MST), Voronoi diagram and kd-trees. In this book, we mainly report on the hierarchical, partitional, density-based and graph-based clustering algorithms which are developed using such neighborhood graphs.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Dr. Damodar Reddy Edla is an Asst. Professor in the department of Computer Science & Engineering, National Institute of Technology Goa, India. Dr. Prasanta K. Jana is a Professor and Head of the department of Computer Science & Engineering, Indian School of Mines, Dhanbad, India. Prof. Jana is a Senior Member of IEEE, USA (August 2009-May 2013)
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 50,66
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiRisultati della ricerca per Clustering Algorithms for Biological Data
Immagini fornite dal venditore
Clustering Algorithms for Biological Data
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Edla Damodar ReddyDr. Damodar Reddy Edla is an Asst. Professor in the department of Computer Science & Engineering, National Institute of Technology Goa, India. Dr. Prasanta K. Jana is a Professor and Head of the department of Co. Codice articolo 5157137
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Clustering Algorithms for Biological Data
Editore:
LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the recent advances of data generation and acquisition systems and the success of several projects such as Human Genome, a large number of databases, especially in biological field are now available worldwide. The growing rate of such databases is also exponential. There is a need to explore and analyze such massive data to infer some inherent information. Clustering has been recognized as one of the widely used data mining techniques which is essential for data analysis to reveal natural structures and to identify interesting patterns in the underlying data. In the last decade, significant amount of research work has been carried out on cluster analysis and a large number of algorithms have been developed, particularly for biological data. Recently, much attention has been paid to develop various clustering algorithms based on neighborhood graphs such as minimum spanning tree (MST), Voronoi diagram and kd-trees. In this book, we mainly report on the hierarchical, partitional, density-based and graph-based clustering algorithms which are developed using such neighborhood graphs. 148 pp. Englisch. Codice articolo 9783659454745
Quantità: 2 disponibili
Immagini fornite dal venditore
Clustering Algorithms for Biological Data
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the recent advances of data generation and acquisition systems and the success of several projects such as Human Genome, a large number of databases, especially in biological field are now available worldwide. The growing rate of such databases is also exponential. There is a need to explore and analyze such massive data to infer some inherent information. Clustering has been recognized as one of the widely used data mining techniques which is essential for data analysis to reveal natural structures and to identify interesting patterns in the underlying data. In the last decade, significant amount of research work has been carried out on cluster analysis and a large number of algorithms have been developed, particularly for biological data. Recently, much attention has been paid to develop various clustering algorithms based on neighborhood graphs such as minimum spanning tree (MST), Voronoi diagram and kd-trees. In this book, we mainly report on the hierarchical, partitional, density-based and graph-based clustering algorithms which are developed using such neighborhood graphs. Codice articolo 9783659454745
Quantità: 1 disponibili
Immagini fornite dal venditore
Clustering Algorithms for Biological Data
Editore:
LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the recent advances of data generation and acquisition systems and the success of several projects such as Human Genome, a large number of databases, especially in biological field are now available worldwide. The growing rate of such databases is also exponential. There is a need to explore and analyze such massive data to infer some inherent information. Clustering has been recognized as one of the widely used data mining techniques which is essential for data analysis to reveal natural structures and to identify interesting patterns in the underlying data. In the last decade, significant amount of research work has been carried out on cluster analysis and a large number of algorithms have been developed, particularly for biological data. Recently, much attention has been paid to develop various clustering algorithms based on neighborhood graphs such as minimum spanning tree (MST), Voronoi diagram and kd-trees. In this book, we mainly report on the hierarchical, partitional, density-based and graph-based clustering algorithms which are developed using such neighborhood graphs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Codice articolo 9783659454745
Quantità: 1 disponibili
Foto dell'editore
Clustering Algorithms For Biological Data
Editore:
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. Codice articolo __3659454745
Quantità: 1 disponibili
Foto dell'editore
Clustering Algorithms For Biological Data
Editore:
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659454745
ISBN 13: 9783659454745
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. Codice articolo 3659454745
Quantità: 1 disponibili