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Titlebook: Classification and Data Analysis; Theory and Applicati Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Conference proceedings 2020 Springer Nat

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書目名稱Classification and Data Analysis
副標(biāo)題Theory and Applicati
編輯Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
視頻videohttp://file.papertrans.cn/228/227196/227196.mp4
概述Covers data analysis and classification methods applicable to various types of data, including symbolic data.Presents applications of data analysis methods in numerous areas, including economics, fina
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Classification and Data Analysis; Theory and Applicati Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Conference proceedings 2020 Springer Nat
描述.This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions..
出版日期Conference proceedings 2020
關(guān)鍵詞multivariate data analysis; classification and regression trees; symbolic data analysis; visualization
版次1
doihttps://doi.org/10.1007/978-3-030-52348-0
isbn_softcover978-3-030-52347-3
isbn_ebook978-3-030-52348-0Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer Nature Switzerland AG 2020
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Andreas Frey,Nicki-Nils Seitz,Ulf Kr?hneation as a synthetic indicator allowing to measure the general quality of clustering (relative compactness and separability of clusters—see Walesiak and Gatnar in Statystyczna analiza danych z wykorzystaniem programu R. PWN, Warszawa, p. 420, .). Its advantage is low computational complexity and sim
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