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Cluster Analysis and Applications

Af: Francisco Martinez-Alvarez, Kristian Sabo, Sime Ungar, Rudolf Scitovski Engelsk Hardback

Cluster Analysis and Applications

Af: Francisco Martinez-Alvarez, Kristian Sabo, Sime Ungar, Rudolf Scitovski Engelsk Hardback
Tjek vores konkurrenters priser
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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 271
ISBN-13: 9783030745516
Indbinding: Hardback
Udgave:
ISBN-10: 3030745511
Kategori: Machine learning
Udg. Dato: 23 jul 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 23 jul 2021
Forfatter(e): Francisco Martinez-Alvarez, Kristian Sabo, Sime Ungar, Rudolf Scitovski
Forfatter(e) Francisco Martinez-Alvarez, Kristian Sabo, Sime Ungar, Rudolf Scitovski

Kategori Machine learning

ISBN-13 9783030745516

Sprog Engelsk

Indbinding Hardback

Sider 271

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 23 jul 2021

Oplagsdato 23 jul 2021

Forlag Springer Nature Switzerland AG