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Cluster analysis and applications
~
Scitovski, Rudolf.
Cluster analysis and applications
Record Type:
Electronic resources : Monograph/item
Title/Author:
Cluster analysis and applicationsby Rudolf Scitovski ... [et al.].
other author:
Scitovski, Rudolf.
Published:
Cham :Springer International Publishing :2021.
Description:
x, 271 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Cluster analysis.
Online resource:
https://doi.org/10.1007/978-3-030-74552-3
ISBN:
9783030745523$q(electronic bk.)
Cluster analysis and applications
Cluster analysis and applications
[electronic resource] /by Rudolf Scitovski ... [et al.]. - Cham :Springer International Publishing :2021. - x, 271 p. :ill., digital ;24 cm.
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. With clear explanations of ideas and precise definitions of notions, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications is meant for students and researchers in various disciplines, working in data analysis or data science.
ISBN: 9783030745523$q(electronic bk.)
Standard No.: 10.1007/978-3-030-74552-3doiSubjects--Topical Terms:
182711
Cluster analysis.
LC Class. No.: QA278.55
Dewey Class. No.: 519.53
Cluster analysis and applications
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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. With clear explanations of ideas and precise definitions of notions, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications is meant for students and researchers in various disciplines, working in data analysis or data science.
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EB QA278.55 .C649 2021 2021
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https://doi.org/10.1007/978-3-030-74552-3
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