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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 線上預覽
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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

作者: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.
出版商: Berlin : Springer, 2005.
叢書: Studies in classification, data analysis, and knowledge organization.
版本/格式:   電子書 : 文獻 : 會議刊物 : 英語所有版本和格式的總覽
資料庫:WorldCat
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  再讀一些...
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類型/形式: Electronic books
Congresses
其他的實體格式: Print version:
New developments in classification and data analysis.
Berlin : Springer, 2005
(DLC) 2005920314
(OCoLC)58602486
資料類型: 會議刊物, 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Maurizio Vichi; Classification Group of SIS.; Università di Bologna.; Società italiana di statistica.
ISBN: 9783540273738 3540273735 3540238093 9783540238096
OCLC系統控制編碼: 209863818
注意: Internat. conference proceedings.
描述: 1 online resource (x, 369 pages) : 92 fig., 66 table.
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.
叢書名: Studies in classification, data analysis, and knowledge organization.
責任: Maurizio Vichi [and others], 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  再讀一些...

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