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Titlebook: Reverse Clustering; Formulation, Interpr Jan W. Owsiński,Jarosław Stańczak,Janusz Kacprzyk Book 2021 The Editor(s) (if applicable) and The

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发表于 2025-3-21 17:36:38 | 显示全部楼层 |阅读模式
书目名称Reverse Clustering
副标题Formulation, Interpr
编辑Jan W. Owsiński,Jarosław Stańczak,Janusz Kacprzyk
视频video
概述Is devoted to Reverse Clustering, developed by the authors and applied to a series of cases based on real-life data.Belongs to the broadly understood domain of data analysis – more precisely: classifi
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Reverse Clustering; Formulation, Interpr Jan W. Owsiński,Jarosław Stańczak,Janusz Kacprzyk Book 2021 The Editor(s) (if applicable) and The
描述.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..
出版日期Book 2021
关键词Computational Intelligence; Reverse Clustering; Cluster Analysis; Artificial Intelligence; Classificatio
版次1
doihttps://doi.org/10.1007/978-3-030-69359-6
isbn_softcover978-3-030-69361-9
isbn_ebook978-3-030-69359-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Reverse Clustering影响因子(影响力)




书目名称Reverse Clustering影响因子(影响力)学科排名




书目名称Reverse Clustering网络公开度




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书目名称Reverse Clustering被引频次




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书目名称Reverse Clustering年度引用




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书目名称Reverse Clustering读者反馈




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发表于 2025-3-21 23:42:37 | 显示全部楼层
发表于 2025-3-22 04:20:14 | 显示全部楼层
Summary and Conclusions,rough this paradigm.  We indicate some of the most striking results, involving both the “perfect fit” cases and the extensibility to other, similar datasets, but also the cases, in which only qualitatively similar structures could be recovered. For the latter, we bring out an example, when such a result leads to far-reaching conclusions.
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发表于 2025-3-22 15:09:31 | 显示全部楼层
The Road Traffic Data,ek. Reverse clustering is applied to verify this classification, with a robust, but also somewhat surprising effect: a different classification appears to be proposed by the results from the reverse clustering.
发表于 2025-3-22 17:05:10 | 显示全部楼层
The Chemicals in the Natural Environment,rried out to possibly reconstruct this partition on the basis of either all four elements or only the two that were not taken as basis for identifying this initial partition. The results of this reconstruction are strikingly precise.
发表于 2025-3-23 01:13:14 | 显示全部楼层
发表于 2025-3-23 03:16:01 | 显示全部楼层
The Concept of Reverse Clustering, a given set of data. We give some examples of such real-life problems. The reverse clustering problem is formulated, and its component parts described, i.e. the clustering algorithms considered, their parameters, the weighing or selection of variables, characterising the data items, the definition
发表于 2025-3-23 06:34:59 | 显示全部楼层
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