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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Case Studies: An Introduction,resent book—their short characterisation and the indication of the respective interpretations of the problems formulated and hence also of the results obtained, in the vein of the framework, introduced in the preceding chapters. These cases include the road traffic data, the environmental contaminat

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The Road Traffic Data,g one hour, and the data items (“objects” or “observations”) are individual days, characterised, therefore, by 24 numbers each. These observations have been classified according to the days of the week, since such daily traffic intensity profiles are deemed to primarily depend upon the day of the we

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Administrative Units, Part I,ns. Thus, in this chapter the municipalities are considered, forming a province (several hundred units), first with their formal administrative categorisation into three types (urban, rural, and urban-rural). Reverse clustering is used here to attempt the reconstruction of this tripartite division o

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Administrative Units, Part II,ies) in Poland. However, the analysis concerns country-wide data, and not just single province or provinces, and is focussed on the initial partition of the set of municipalities, elaborated by the experts for planning purposes. This partition is a typology of municipalities, based on their function

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Academic Examples,ore academic datasets, as compared to those presented before. The purpose was to analyse the characteristics of the reverse clustering approach for the cases, whose properties are either well known, or they can be easily derived just by visual inspection. Some of the characteristics of the reverse c

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Summary and Conclusions, broad spectrum of possible interpretations thereof, and hence a wide differentiation of the cases–issues, problems, situations–that can be treated through this paradigm.  We indicate some of the most striking results, involving both the “perfect fit” cases and the extensibility to other, similar da

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1860-949X utlier 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..978-3-030-69361-9978-3-030-69359-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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he description of a range of terms, to grow a better understanding and foster knowledge. Ensuring healthy lives and promoting the well-being for all at all ages is essential to sustainable development. Signific978-3-319-69627-0

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