毕业论文外文翻译-数据挖掘—聚类分析

毕业论文外文翻译-数据挖掘—聚类分析

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1、电气信息工程学院外文翻译英文名称:Datamining-clustering译文名称:数据挖掘—聚类分析专业:自动化姓名:****班级学号:****指导教师:******译文出处:Datamining:IanH.Witten,EibeFrank著Clustering5.1INTRODUCTIONClusteringissimilartoclassificationinthatdataaregrouped.However,unlikeclassification,thegroupsarenotpredefined.Instead,

2、thegroupingisaccomplishedbyfindingsimilaritiesbetweendataaccordingtocharacteristicsfoundintheactualdata.Thegroupsarecalledclusters.Someauthorsviewclusteringasaspecialtypeofclassification.Inthistext,however,wefollowamoreconventionalviewinthatthetwoaredifferent.Manydef

3、initionsforclustershavebeenproposed:lSetoflikeelements.Elementsfromdifferentclustersarenotalike.lThedistancebetweenpointsinaclusterislessthanthedistancebetweenapointintheclusterandanypointoutsideit.Atermsimilartoclusteringisdatabasesegmentation,whereliketuple(record)

4、inadatabasearegroupedtogether.Thisisdonetopartitionorsegmentthedatabaseintocomponentsthatthengivetheuseramoregeneralviewofthedata.Inthiscasetext,wedonotdifferentiatebetweensegmentationandclustering.AsimpleexampleofclusteringisfoundinExample5.1.Thisexampleillustratest

5、hefactthatthatdetermininghowtodotheclusteringisnotstraightforward.AsillustratedinFigure5.1,agivensetofdatamaybeclusteredondifferentattributes.Hereagroupofhomesinageographicareaisshown.Thefirstfloortypeofclusteringisbasedonthelocationofthehome.Homesthataregeographical

6、lyclosetoeachotherareclusteredtogether.Inthesecondclustering,homesaregroupedbasedonthesizeofthehouse.Clusteringhasbeenusedinmanyapplicationdomains,includingbiology,medicine,anthropology,marketing,andeconomics.Clusteringapplicationsincludeplantandanimalclassification,

7、diseaseclassification,imageprocessing,patternrecognition,anddocumentretrieval.Oneofthefirstdomainsinwhichclusteringwasusedwasbiologicaltaxonomy.RecentusesincludeexaminingWeblogdatatodetectusagepatterns.Whenclusteringisappliedtoareal-worlddatabase,manyinterestingprobl

8、emsoccur:lOutlierhandlingisdifficult.Heretheelementsdonotnaturallyfallintoanycluster.Theycanbeviewedassolitaryclusters.However,ifac

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