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Reverse Clustering = Formulation, In...
~
Stańczak, Jarosław.
Reverse Clustering = Formulation, Interpretation and Case Studies /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Reverse Clustering/ by Jan W. Owsiński, Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, Janusz Kacprzyk.
Reminder of title:
Formulation, Interpretation and Case Studies /
Author:
Owsiński, Jan W.
other author:
Stańczak, Jarosław.
Description:
XVII, 101 p. 27 illus., 21 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-69359-6
ISBN:
9783030693596
Reverse Clustering = Formulation, Interpretation and Case Studies /
Owsiński, Jan W.
Reverse Clustering
Formulation, Interpretation and Case Studies /[electronic resource] :by Jan W. Owsiński, Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, Janusz Kacprzyk. - 1st ed. 2021. - XVII, 101 p. 27 illus., 21 illus. in color.online resource. - Studies in Computational Intelligence,9571860-9503 ;. - Studies in Computational Intelligence,564.
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:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Reverse Clustering = Formulation, Interpretation and Case Studies /
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