Options Main kisrequiredandindicatesthatgroupsaretobeformedbytheclusteranalysismeasuremeasurespeciesthesimilarityordissimilaritymeasureThedefaultismeasureL2EuclideandistanceThisoption ID: 308003
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2clusterkmeansandkmedians—Kmeansandkmediansclusteranalysis Options � Main �k(#)isrequiredandindicatesthat#groupsaretobeformedbytheclusteranalysis.measure(measure)speciesthesimilarityordissimilaritymeasure.Thedefaultismeasure(L2),Euclideandistance.Thisoptionisnotcasesensitive.See[MV]measure optionfordetaileddescriptionsofthesupportedmeasures.name(clname)speciesthenametoattachtotheresultingclusteranalysis.Ifname()isnotspecied,Statandsanavailableclustername,displaysitforyourreference,andattachesthenametoyourclusteranalysis. � Options �start(start option)indicateshowthekinitialgroupcentersaretobeobtained.Theavailablestart optionsarekr andom(seed#),thedefault,speciesthatkuniqueobservationsbechosenatrandom,fromamongthosetobeclustered,asstartingcentersforthekgroups.Optionally,arandom-numberseedmaybespeciedtocausethecommandsetseedseed#(see[R]setseed)tobeappliedbeforethekrandomobservationsarechosen.f irstk,ex cludespeciesthattherstkobservationsfromamongthosetobeclusteredbeusedasthestartingcentersforthekgroups.Withtheexcludeoption,theserstkobservationsarenotincludedamongtheobservationstobeclustered.l astk,ex cludespeciesthatthelastkobservationsfromamongthosetobeclusteredbeusedasthestartingcentersforthekgroups.Withtheexcludeoption,theselastkobservationsarenotincludedamongtheobservationstobeclustered.r andom(seed#)speciesthatkrandominitialgroupcentersbegenerated.Thevaluesarerandomlychosenfromauniformdistributionovertherangeofthedata.Optionally,arandom-numberseedmaybespeciedtocausethecommandsetseedseed#(see[R]setseed)tobeappliedbeforethekgroupcentersaregenerated.pr andom(seed#)speciesthatkpartitionsbeformedrandomlyamongtheobservationstobeclustered.Thegroupmeansormediansfromthekgroupsdenedbythispartitioningaretobeusedasthestartinggroupcenters.Optionally,arandom-numberseedmaybespeciedtocausethecommandsetseedseed#(see[R]setseed)tobeappliedbeforethekpartitionsarechosen.everyk thspeciesthatkpartitionsbeformedbyassigningobservations1,1+k,1+2k,:::totherstgroup;assigningobservations2,2+k,2+2k,:::tothesecondgroup;andsoon,toformkgroups.Thegroupmeansormediansfromthesekgroupsaretobeusedasthestartinggroupcenters.seg mentsspeciesthatknearlyequalpartitionsbeformedfromthedata.ApproximatelytherstN=kobservationsareassignedtotherstgroup,thesecondN=kobservationsareassignedtothesecondgroup,andsoon.Thegroupmeansormediansfromthesekgroupsaretobeusedasthestartinggroupcenters.g roup(varname)providesaninitialgroupingvariable,varname,thatdeneskgroupsamongtheobservationstobeclustered.Thegroupmeansormediansfromthesekgroupsaretobeusedasthestartinggroupcenters.keepcentersspeciesthatthegroupmeansormediansfromthekgroupsthatareproducedbeappendedtothedata. clusterkmeansandkmedians—Kmeansandkmediansclusteranalysis5 .tabstatflexspeedstrength,by(g4abs)stat(minmeanmax)Summarystatistics:min,mean,maxbycategoriesof:g4absg4abs flexib~yspeedstrength 1 8.128.053.61 8.8528.7433334.358 9.979.795.42 2 4.321.055.46 5.94653.44856.8325 7.895.327.66 3 .03.037.38 1.9694291.1448578.478857 3.482.179.57 4 2.295.11.05 3.1576.9881.641 3.998.873.02 Total .03.03.05 4.4026253.8758756.439875 9.979.799.57 Afterlookingatthelast4observations(whicharethegroupmeansbecauseyouspeciedkeep-centers),youdecidethatwhatyoureallywantedtoseewastheminimumandmaximumvaluesandthemeanforthefourgroups.Youremovethelast4observationsandthenusethetabstatcommandtoviewthedesiredstatistics.Group1,with15students,isalreadydoingwellinexibilityandspeedbutwillneedextrastrengthtraining.Group2,with20students,needstoemphasizespeedtrainingbutcouldusesomeimprovementintheothercategoriesaswell.Group3,thelargest,with35students,hasseriousproblemswithbothexibilityandspeed,thoughtheydidwellinthestrengthcategory.Group4,thesmallest,with10students,needshelpwithexibilityandstrength.Becauseyoulikelookingatgraphs,youdecidetoviewthematrixgraphagainbutwithgroupnumbersusedasplottingsymbols. clusterkmeansandkmedians—Kmeansandkmediansclusteranalysis9 0.5.Thebinarysimilaritymeasurescanaccommodatethecomparisonofabinaryobservationtoaproportion.See[MV]measure optionfordetailsonthissubjectandfortheformulasforalltheavailable(dis)similaritymeasures.ReferenceMakles,A.2012.Statatip110:Howtogettheoptimalk-meansclustersolution.StataJournal12:347–351.Alsosee[MV]clusternotes—Placenotesinclusteranalysis[MV]clusterstop—Cluster-analysisstoppingrules[MV]clusterutility—List,rename,use,anddropclusteranalyses[MV]cluster—Introductiontocluster-analysiscommands[MV]clustermat—Introductiontoclustermatcommands