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New developments in classification and data analysis : proceedings of the meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003 预览资料
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New developments in classification and data analysis : proceedings of the meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003

著者: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.; et al
出版商: Berlin : Springer, 2005.
丛书: Studies in classification, data analysis, and knowledge organization.
版本/格式:   电子图书 : 文献 : 会议刊物 : 英语查看所有的版本和格式
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提要:
The volume presents new developments in data analysis and classification. Particular attention is devoted to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social sciences. The reader will find theory and algorithms on recent technical and methodological developments and many application papers showing the empirical usefulness of the newly developed  再读一些...
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类型/形式: Electronic books
Congresses
附加的形体格式: Print version:
New developments in classification and data analysis.
Berlin : Springer, 2005
(DLC) 2005920314
(OCoLC)58602486
材料类型: 会议刊物, 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.; et al
ISBN: 9783540273738 3540273735 3540238093 9783540238096
OCLC号码: 209863818
注意: Internat. conference proceedings.
描述: 1 online resource (x, 369 p.) : 92 fig., 66 tab.
内容: Multi-Class Budget Exploratory Trees; Methods to Compare Nonparametric Classifiers and to Select the Predictors; Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis; Simplifying Classification Trees Through Consensus Methods; Selecting the Training Set in Classification Problems with Rare Events; A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey; A Collinearity Based Hierarchical Method to Identify Clusters of Variables.
丛书名: Studies in classification, data analysis, and knowledge organization.
责任: Maurizio Vichi ... [et al.], editors.
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Presents developments in data analysis and classification. This book pays attention to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social  再读一些...

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