Unsupervised Classification : Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 3642428363
[EAN: 9783642428364], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIOINFORMATICS; BRAINIMAGING; CLUSTERING; DATAMINING; FACIALRECOGNITION; IMAGING; MULTIOBJECTIVEOPTIMIZATION; S… Meer...
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Unsupervised Classification : Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 3642428363
[EAN: 9783642428364], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIOINFORMATICS; BRAINIMAGING; CLUSTERING; DATAMINING; FACIALRECOGNITION; IMAGING; MULTIOBJECTIVEOPTIMIZATION; S… Meer...
ZVAB.com AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)] NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) Details... |
ISBN: 9783642428364
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis… Meer...
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Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 9783642428364
Mitwirkende: Saha, Sriparna, Springer, Taschenbuch, Auflage: 2013, 280 Seiten, Publiziert: 2015-01-29T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 9.43 kg, Hardware & Techni… Meer...
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Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 9783642428364
Mitwirkende: Saha, Sriparna, Springer, Taschenbuch, Auflage: 2013, 280 Seiten, Publiziert: 2015-01-29T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 9.43 kg, Hardware & Techni… Meer...
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Unsupervised Classification : Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 3642428363
[EAN: 9783642428364], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIOINFORMATICS; BRAINIMAGING; CLUSTERING; DATAMINING; FACIALRECOGNITION; IMAGING; MULTIOBJECTIVEOPTIMIZATION; S… Meer...
Sriparna Saha:
Unsupervised Classification : Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek2015, ISBN: 3642428363
[EAN: 9783642428364], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIOINFORMATICS; BRAINIMAGING; CLUSTERING; DATAMINING; FACIALRECOGNITION; IMAGING; MULTIOBJECTIVEOPTIMIZATION; S… Meer...
ISBN: 9783642428364
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis… Meer...
Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 9783642428364
Mitwirkende: Saha, Sriparna, Springer, Taschenbuch, Auflage: 2013, 280 Seiten, Publiziert: 2015-01-29T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 9.43 kg, Hardware & Techni… Meer...
Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications - pocketboek
2015, ISBN: 9783642428364
Mitwirkende: Saha, Sriparna, Springer, Taschenbuch, Auflage: 2013, 280 Seiten, Publiziert: 2015-01-29T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 9.43 kg, Hardware & Techni… Meer...
Bibliografische gegevens van het best passende boek
Gedetalleerde informatie over het boek. - Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications
EAN (ISBN-13): 9783642428364
ISBN (ISBN-10): 3642428363
pocket book
Verschijningsjaar: 2012
Uitgever: Springer
Boek bevindt zich in het datenbestand sinds 2015-04-19T11:47:57+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-11-16T21:08:29+01:00 (Amsterdam)
ISBN/EAN: 9783642428364
ISBN - alternatieve schrijfwijzen:
3-642-42836-3, 978-3-642-42836-4
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: bandyopadhyay, sri, bandy
Titel van het boek: classification, metaheuristic, similarity
Gegevens van de uitgever
Auteur: Sanghamitra Bandyopadhyay; Sriparna Saha
Titel: Unsupervised Classification - Similarity Measures, Classical and Metaheuristic Approaches, and Applications
Uitgeverij: Springer; Springer Berlin
262 Bladzijden
Verschijningsjaar: 2015-01-29
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Gewicht: 4,277 kg
Taal: Engels
53,45 € (DE)
54,95 € (AT)
66,63 CHF (CH)
POD
XVIII, 262 p.
BC; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Bioinformatics; Brain imaging; Clustering; Data mining; Facial recognition; Imaging; Metaheuristics; Multiobjective optimization; Optimization; Similarity; Symmetry; Computational Biology/Bioinformatics; Information Systems and Communication Service; Artificial Intelligence; Computational and Systems Biology; Computer Communication Networks; DV-gestützte Biologie/Bioinformatik; Netzwerk-Hardware; BB
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
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