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Reverse clustering = formulation, in...

Owsinski, Jan W.

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Reverse clustering = formulation, interpretation and case studies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reverse clustering/ by Jan W. Owsinski ... [et al.].
Reminder of title:	formulation, interpretation and case studies /
other author:	Owsinski, Jan W.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvii, 101 p. :ill., digital ;24 cm.
[NT 15003449]:	The concept of reverse clustering -- Reverse clustering: the essence and the interpretations -- Case studies: an introduction -- The road traffic data -- The chemicals in the natural environment -- Administrative units, Part I -- Administrative units, Part II -- Academic examples -- Summary and conclusions.
Contained By:	Springer Nature eBook
Subject:	Cluster set theory. -
Online resource:	https://doi.org/10.1007/978-3-030-69359-6
ISBN:	9783030693596

Reverse clustering = formulation, interpretation and case studies /
Reverse clusteringformulation, interpretation and case studies /[electronic resource] :by Jan W. Owsinski ... [et al.]. - Cham :Springer International Publishing :2021. - xvii, 101 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9571860-949X ;. - Studies in computational intelligence ;v.957..

The concept of reverse clustering -- Reverse clustering: the essence and the interpretations -- Case studies: an introduction -- The road traffic data -- The chemicals in the natural environment -- Administrative units, Part I -- Administrative units, Part II -- Academic examples -- Summary and conclusions.

This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure. The main advantages of this new paradigm concern the substantive aspects of the particular cases considered, mainly in view of the variety of interpretations, which can be assumed in the framework of the paradigm. Due to the novel problem formulation and the flexibility in the interpretations of this problem and its components, the domains, which are encompassed (or at least affected) by the potential use of the paradigm, include cluster analysis, classification, outlier detection, feature selection, and even factor analysis as well as geometry of the data set. The book is useful for all those who look for new, nonconventional approaches to their data analysis problems.

ISBN: 9783030693596

Standard No.: 10.1007/978-3-030-69359-6doiSubjects--Topical Terms:

753049
Cluster set theory.

LC Class. No.: QA355

Dewey Class. No.: 515

Reverse clustering = formulation, interpretation and case studies /
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245 0 0 $a Reverse clustering $h [electronic resource] : $b formulation, interpretation and case studies / $c by Jan W. Owsinski ... [et al.].
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300 $a xvii, 101 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.957
505 0 $a The concept of reverse clustering -- Reverse clustering: the essence and the interpretations -- Case studies: an introduction -- The road traffic data -- The chemicals in the natural environment -- Administrative units, Part I -- Administrative units, Part II -- Academic examples -- Summary and conclusions.
520 $a This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure. The main advantages of this new paradigm concern the substantive aspects of the particular cases considered, mainly in view of the variety of interpretations, which can be assumed in the framework of the paradigm. Due to the novel problem formulation and the flexibility in the interpretations of this problem and its components, the domains, which are encompassed (or at least affected) by the potential use of the paradigm, include cluster analysis, classification, outlier detection, feature selection, and even factor analysis as well as geometry of the data set. The book is useful for all those who look for new, nonconventional approaches to their data analysis problems.
650 0 $a Cluster set theory. $3 753049
650 0 $a Quantitative research. $3 919734
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650 1 4 $a Computational Intelligence. $3 1001631
700 1 $a Owsinski, Jan W. $3 3442869
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)