Reverse Clustering - Formulation, Interpretation and Case Studies (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 957
Release date:	March 2021
First published:	2021
Authors:	Jan W. Owsinski • Jaroslaw Stanczak • Karol Opara • Slawomir Zadrozny • Janusz Kacprzyk
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	101
Edition:	1st ed. 2021
ISBN-13:	978-3-03-069358-9
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-069358-9
Barcode:	9783030693589

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