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Titlebook: Classification and Knowledge Organization; Proceedings of the 2 Rüdiger Klar,Otto Opitz (Lehrstuhl für Mathematisc Conference proceedings 1

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书目名称Classification and Knowledge Organization
副标题Proceedings of the 2
编辑Rüdiger Klar,Otto Opitz (Lehrstuhl für Mathematisc
视频video
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Classification and Knowledge Organization; Proceedings of the 2 Rüdiger Klar,Otto Opitz (Lehrstuhl für Mathematisc Conference proceedings 1
描述Large collections of data and information necessitate adequate methods for their analysis. The book presents such methods, proposes and discusses recent approaches and implementations and describes a series of practical applications.
出版日期Conference proceedings 1997
关键词Datenanalyse; Informationssysteme; Klassifikation; STATISTICA; Wissensrepräsentation; classification; data
版次1
doihttps://doi.org/10.1007/978-3-642-59051-1
isbn_softcover978-3-540-62981-8
isbn_ebook978-3-642-59051-1Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 1997
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https://doi.org/10.1007/978-3-642-59051-1Datenanalyse; Informationssysteme; Klassifikation; STATISTICA; Wissensrepräsentation; classification; data
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Prompilai Buasuwan,Bordin RassameethesA hierarchical neural network architecture for classification tasks is proposed. This algorithm has been evaluated in an OCR problem. The basic components of the network architecture are LVQ and RBF networks.
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Multidimensional Scaling: Analyzing Multineuronal Spike PatternsMultidimensional scaling (MDS) is used as an exploratory tool to discover structure in vast neuro-data sets. Examples are given for recordings from visual cortex of monkeys, using an array of 30 microelectrodes. Different models of MDS are applied and compared.
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A Metric Approach for Ordinal RegressionThis paper presents a metric approach for the regression of ordinal variables. In contrast to most other studies, the problem of independent, ordinal variables with a dependent variable that is a metric scale is analyzed. For this situation, some properties of the estimated parameters of the model are described.
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