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Titlebook: New Developments in Classification and Data Analysis; Proceedings of the M H.-H. Bock,W. Gaul,Angela Montanari Conference proceedings 2005

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書(shū)目名稱(chēng)New Developments in Classification and Data Analysis
副標(biāo)題Proceedings of the M
編輯H.-H. Bock,W. Gaul,Angela Montanari
視頻videohttp://file.papertrans.cn/666/665001/665001.mp4
叢書(shū)名稱(chēng)Studies in Classification, Data Analysis, and Knowledge Organization
圖書(shū)封面Titlebook: New Developments in Classification and Data Analysis; Proceedings of the M H.-H. Bock,W. Gaul,Angela Montanari Conference proceedings 2005
描述This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED
出版日期Conference proceedings 2005
關(guān)鍵詞Access; Multivariate statistics; Time series; calculus; classification; cluster analysis; clustering; data
版次1
doihttps://doi.org/10.1007/b138989
isbn_softcover978-3-540-23809-6
isbn_ebook978-3-540-27373-8Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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https://doi.org/10.1007/b138989Access; Multivariate statistics; Time series; calculus; classification; cluster analysis; clustering; data
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Methods to Compare Nonparametric Classifiers and to Select the Predictorsthe importance, in nonparametric models, to eliminate the noise variables with a simple selection procedure. It is shown that a simpler model usually gives lower prediction error and is more interpretable. We show some empirical results applying nonparametric classification models on real and artificial data sets.
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New Developments in Classification and Data Analysis978-3-540-27373-8Series ISSN 1431-8814 Series E-ISSN 2198-3321
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New Developments in Classification and Data AnalysisProceedings of the M
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ked Freud and Jung and Objectivists seemed to dislike the abstractness of language — but their manifestos usually describe the role of literature appropriate to the present time, and argue for the adoption of a certain approach as a way of keeping up with the times.
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