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Data Clustering (Artificial Intelligence) - Hardcover

 
9781839698873: Data Clustering (Artificial Intelligence)

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In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data.

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Published by IntechOpen, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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Published by Bod Third Party Titles, 2022
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9781839698873

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Published by Bod Third Party Titles, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9781839698873

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Published by Intechopen Aug 2022, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data. 126 pp. Englisch. Seller Inventory # 9781839698873

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Published by IntechOpen, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketi. Seller Inventory # 699557103

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Niansheng Tang
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ISBN 10: 183969887X ISBN 13: 9781839698873
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Published by Intechopen Aug 2022, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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Buch. Condition: Neu. Neuware -In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 126 pp. Englisch. Seller Inventory # 9781839698873

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Published by Intechopen, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data. Seller Inventory # 9781839698873

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Published by IntechOpen, 2022
ISBN 10: 183969887X ISBN 13: 9781839698873
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