Chapman&Hall/CRCComputerScience&DataAnalysisSeriesExploratory MultivariateAnalysisbyExampleUsingRSECOND EDITIONFrancoisHusson·SebastienLeJeromePagesCRCPressTayfor&FrancisGroupA CHAPMAN & HALL BOOK
Chapman&Hall/CRCComputer ScienceandDataAnalysis SeriesExploratory MultivariateAnalysis by Example Using RFrancois HussonSébastienLeJeromePagesCRC PressRTaylor &Francis GroupBoca Raton London New YorkCRC Press is an imprint of theTaylor & Francis Group, an informa businessACHAPMAN&HALLBOOK
Chapman & Hall/CRC Computer Science and Data Analysis Series Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business A CHAPMAN & HALL BOOK François Husson Sébastien Lê Jérôme Pagès Exploratory Multivariate Analysis by Example Using R
Chapman&HalVCRCComputer Science and Data Analysis SeriesThe interface between the computer and statistical sciences is increasing,as eachdisciplineseekstoharnessthepowerandresourcesoftheother.Thisseriesaimstofostertheintegrationbetweenthecomputersciencesandstatistical,numerical,andprobabilisticmethodsbypublishingabroadrangeofreferenceworks,textbooks,andhandbooks.SERIESEDITORSDavid Blei, Princeton UniversityDavid Madigan, Rutgers UniversityMarina Meila, University of WashingtonFionn Murtagh,Royal Holloway, Universityof LondonProposalsfortheseriesshouldbesentdirectlytooneoftheserieseditorsabove,orsubmittedtoChapman&Hall/CRCTaylorandFrancisGroup3ParkSquare,MiltonParkAbingdon, OX14 4RN, UKPublished TitlesSemisupervisedLearningforComputationalLinguisticsStevenAbneyVisualizationandVerbalizationofDataJorgBlasiusandMichaelGreenacreDesignandModelingforComputerExperimentsKai-Tai Fang,Runze Li,and Agus SudjiantoMicroarrayImageAnalysis:AnAlgorithmicApproachKarlFraser,ZidongWang,andXiaohuiLiuRProgrammingforBioinformaticsRobertGentlemanExploratoryMultivariateAnalysisbyExampleUsingRFrancoisHusson,SebastienLe,andJeromePagesBayesianArtificial Intelligence,SecondEditionKevinB.KorbandAnnE.Nicholson
Chapman & Hall/CRC Computer Science and Data Analysis Series The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other. This series aims to foster the integration between the computer sciences and statistical, numerical, and probabilistic methods by publishing a broad range of reference works, textbooks, and handbooks. SERIES EDITORS David Blei, Princeton University David Madigan, Rutgers University Marina Meila, University of Washington Fionn Murtagh, Royal Holloway, University of London Proposals for the series should be sent directly to one of the series editors above, or submitted to: Chapman & Hall/CRC Taylor and Francis Group 3 Park Square, Milton Park Abingdon, OX14 4RN, UK Published Titles Semisupervised Learning for Computational Linguistics Steven Abney Visualization and Verbalization of Data Jörg Blasius and Michael Greenacre Design and Modeling for Computer Experiments Kai-Tai Fang, Runze Li, and Agus Sudjianto Microarray Image Analysis: An Algorithmic Approach Karl Fraser, Zidong Wang, and Xiaohui Liu R Programming for Bioinformatics Robert Gentleman Exploratory Multivariate Analysis by Example Using R François Husson, Sébastien Lê, and Jérôme Pagès Bayesian Artificial Intelligence, Second Edition Kevin B. Korb and Ann E. Nicholson
PublishedTitlescont.Computational Statistics HandbookwithMATLAB,ThirdEditionWendyL.MartinezandAngelR.MartinezExploratoryDataAnalysiswithMATLABThirdEditionWendyL.Martinez,AngelR.Martinez,andJeffreyL.SolkaStatisticsinMATLAB:APrimerWendyL.MartinezandMoonJungChaClusteringforDataMining:ADataRecoveryApproach,Second EditionBorisMirkinIntroductiontoMachineLearningandBioinformaticsSushmitaMitra,SujayDatta,TheodorePerkins,andGeorgeMichailidisIntroductiontoDataTechnologiesPaul MurrellRGraphicsPaul MurrellDataScienceFoundations:GeometryandTopologyof ComplexHierarchicSystemsandBigDataAnalyticsFionn MurtaghCorrespondenceAnalysis andData Codingwith JavaandRFionnMurtaghPattern Recognition AlgorithmsforData MiningSankarK.Pal and Pabitra MitraStatistical ComputingwithRMariaL.RizzoStatisticalLearningandDataScienceMireilleGettlerSumma,LeonBottou,BernardGoldfarb,FionnMurtagh,CatherinePardoux,andMyriamTouatiMusicDataAnalysis:FoundationsandApplicationsClausWeihs,DietmarJannach,IgorVatolkin,andGunterRudolphFoundationsofStatisticalAlgorithms:WithReferencestoRPackagesClausWeihs,OlafMersmann,andUweLigges
Computational Statistics Handbook with MATLAB® , Third Edition Wendy L. Martinez and Angel R. Martinez Exploratory Data Analysis with MATLAB®, Third Edition Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka Statistics in MATLAB®: A Primer Wendy L. Martinez and MoonJung Cho Clustering for Data Mining: A Data Recovery Approach, Second Edition Boris Mirkin Introduction to Machine Learning and Bioinformatics Sushmita Mitra, Sujay Datta, Theodore Perkins, and George Michailidis Introduction to Data Technologies Paul Murrell R Graphics Paul Murrell Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics Fionn Murtagh Correspondence Analysis and Data Coding with Java and R Fionn Murtagh Pattern Recognition Algorithms for Data Mining Sankar K. Pal and Pabitra Mitra Statistical Computing with R Maria L. Rizzo Statistical Learning and Data Science Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati Music Data Analysis: Foundations and Applications Claus Weihs, Dietmar Jannach, Igor Vatolkin, and Günter Rudolph Foundations of Statistical Algorithms: With References to R Packages Claus Weihs, Olaf Mersmann, and Uwe Ligges Published Titles cont
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