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Titlebook: Cluster Analysis and Applications; Rudolf Scitovski,Kristian Sabo,?ime Ungar Textbook 2021 The Editor(s) (if applicable) and The Author(s)

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書目名稱Cluster Analysis and Applications
編輯Rudolf Scitovski,Kristian Sabo,?ime Ungar
視頻videohttp://file.papertrans.cn/229/228527/228527.mp4
概述Clear and precise definitions of basic concepts and notions in clustering, and analysis of their properties.Analysis and implementation of most important methods for searching for optimal partitions.C
圖書封面Titlebook: Cluster Analysis and Applications;  Rudolf Scitovski,Kristian Sabo,?ime Ungar Textbook 2021 The Editor(s) (if applicable) and The Author(s)
描述With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results.? This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields..Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes?discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, .Cluster Analysis and Applications. also includes coverage of?deep learning based clustering methods..With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, .Cluster Analysis and Applications.?may be used by students and researchers in various disciplines, working in data analysis or data science..
出版日期Textbook 2021
關(guān)鍵詞distance-like function; k-means; incremental algorithm; agglomerative hierarchical clustering; optimal p
版次1
doihttps://doi.org/10.1007/978-3-030-74552-3
isbn_softcover978-3-030-74554-7
isbn_ebook978-3-030-74552-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/3-540-28770-1ons, managing energy resources, quality control, text analysis and classification, in social sciences, etc. Grouping and ranking objects has attracted the interest of not only researchers of different profiles but also decision-makers, such as government and public administration.
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ost important methods for searching for optimal partitions.CWith the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the re
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Introduction,ons, managing energy resources, quality control, text analysis and classification, in social sciences, etc. Grouping and ranking objects has attracted the interest of not only researchers of different profiles but also decision-makers, such as government and public administration.
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