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Reverse Clustering = Formulation, Interpretation and Case Studies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reverse Clustering/ by Jan W. Owsiński, Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, Janusz Kacprzyk.
其他題名:	Formulation, Interpretation and Case Studies /
作者:	Owsiński, Jan W.
其他作者:	Kacprzyk, Janusz.
面頁冊數:	XVII, 101 p. 27 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-69359-6
ISBN:	9783030693596

Reverse Clustering = Formulation, Interpretation and Case Studies /
Owsiński, Jan W.

Reverse ClusteringFormulation, 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:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Reverse Clustering = Formulation, Interpretation and Case Studies /
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