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Partitional Clustering Algorithms (English Edition)
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Partitional Clustering Algorithms (English Edition) - new book

2014, ISBN: 9783319092591

Springer, Kindle Ausgabe, Auflage: 2015, 425 Seiten, Publiziert: 2014-11-07T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Computer & Internet, Kategorien, Bücher, Elektrotechnik, I… More...

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Partitional Clustering Algorithms - M. Emre Celebi
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M. Emre Celebi:

Partitional Clustering Algorithms - new book

2014, ISBN: 9783319092591

eBooks, eBook Download (PDF), 2015, [PU: Springer International Publishing], Seiten: 415, Springer International Publishing, 2014

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ISBN: 9783319092591

Partitional Clustering Algorithms: ab 96.49 € eBooks > Sachthemen & Ratgeber > Technik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH

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Partitional Clustering Algorithms - M. Emre Celebi
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M. Emre Celebi:
Partitional Clustering Algorithms - new book

2014, ISBN: 9783319092591

eBooks, eBook Download (PDF), 2015, [PU: Springer International Publishing], Springer International Publishing, 2014

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Partitional Clustering Algorithms - M. Emre Celebi
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M. Emre Celebi:
Partitional Clustering Algorithms - First edition

2014, ISBN: 9783319092591

eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2014

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Partitional Clustering Algorithms (English Edition)
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9783319092591

Details of the book - Partitional Clustering Algorithms (English Edition)


EAN (ISBN-13): 9783319092591
ISBN (ISBN-10): 3319092596
Publishing year: 2014
Publisher: Celebi, M. Emre, Springer

Book in our database since 2015-04-17T17:43:18+01:00 (London)
Detail page last modified on 2023-11-17T15:38:24+00:00 (London)
ISBN/EAN: 9783319092591

ISBN - alternate spelling:
3-319-09259-6, 978-3-319-09259-1
Alternate spelling and related search-keywords:
Book author: celebi
Book title: algorithms, partition

Information from Publisher

Author: M. Emre Celebi
Title: Partitional Clustering Algorithms
Publisher: Springer; Springer International Publishing
415 Pages
Publishing year: 2014-11-07
Cham; CH
Printed / Made in
Language: English
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
X, 415 p. 78 illus., 45 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Nachrichtententechnik, Telekommunikation; Verstehen; Center Based Clustering; Flat Clustering; Fuzzy c-means; Nonhierarchical Clustering; Objective Function Based Clustering; Partitional Clustering; Unsupervised Classification; Unsupervised Learning; k-means; B; Communications Engineering, Networks; Information Systems and Communication Service; Signal, Image and Speech Processing; Communications Engineering, Networks; Computer Communication Networks; Signal, Speech and Image Processing; Engineering; Netzwerk-Hardware; Elektronik; Digitale Signalverarbeitung (DSP); BB

This book summarizes the state-of-the-art in partitional clustering. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific disciplines including anthropology, biology, medicine, psychology, statistics, mathematics, engineering, and computer science. As a result, numerous clustering algorithms have been proposed since the early 1950s. Among these algorithms, partitional (nonhierarchical) ones have found many applications, especially in engineering and computer science. This book provides coverage of consensus clustering, constrained clustering, large scale and/or high dimensional clustering, cluster validity, cluster visualization, and applications of clustering.Examines clustering as it applies to large and/or high-dimensional data sets commonly encountered in realistic applications;Discusses algorithms specifically designed for partitional clustering;Covers center-based, competitive learning, density-based, fuzzy, graph-based, grid-based, metaheuristic, and model-based approaches.

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