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Data Clustering Algorithms Applications (94 results)
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Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9781420072617.
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Multiobjective Genetic Algorithms for Clustering : Applications in Data Mining and Bioinformatics
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642166148 ISBN 13: 9783642166143
Language: English
£ 34.82
Convert currency£ 7.64 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher.
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Paperback. Condition: New.
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£ 47.45
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Add to basketCondition: Used: Good. Occasion - Bon Etat - Data clustering : Theory algorithms and applications (2007) - Grand Format.
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Relational Data Clustering : Models, Algorithms, and Applications
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0367384051 ISBN 13: 9780367384050
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 64.13
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Add to basketCondition: New.
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Data Clustering: Theory, Algorithms, And Applications
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10: 1611976324 ISBN 13: 9781611976328
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Data Clustering: Theory, Algorithms, and Applications
Published by Society for Industrial and Applied Mathematics,, 2007
£ 21.07
Convert currency£ 27.61 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketSoftcover. Condition: Near Fine. early. Royal octovo in wraps, tight and square spine, pages fresh, looks unread, slight flaring of cover, else NFINE. Solid and fresh. ".cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. .also examples .to illustrate advantages and shortcomings of different clustering architecture and algorithms." ; 8vo 8" - 9" tall.
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Data Clustering: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1466558210 ISBN 13: 9781466558212
Language: English
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
£ 84.92
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Add to basketCondition: Very Good. 652 pp., hardcover, previous owner's name neatly inked to the title page, else very good, 2014 printing. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.
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Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC 2015-02-04, 2015
ISBN 10: 1584889969 ISBN 13: 9781584889960
Language: English
Hardcover. Condition: New.
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Paperback. Condition: Like New. Like New. book.
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Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Evolutionary Data Clustering: Algorithms and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9813341904 ISBN 13: 9789813341906
Language: English
£ 173.62
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
