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简介：一个网络的聚类的系数C，是在各种各样的节点的邻居之间的直接连接的一项措施，从0(为没有连接)到1(为完整的连接)。我们基于在从一个来源节点的距离h的节点定义一个小世界的网络的扩大聚类的系数C(h)，因此概括distance-1邻居在计算平常的聚类系数C=C(1)采用了。在一个网络关于距离分发Pδ(h)基于已知的结果，也就是说概率顶点的随机选择的对有距离h，我们发源；试验性地验证法律Pδ(h)C(h)≤c木头N/N，在c是很少超过1的一个小常数的地方。因为它证明产品Pδ(h)C(h)由是比为Pδ(h)的最大的价值的产品更加小的价值是上面界限的，这结果是重要的；C(h)。聚类系数扩大；管理他们的法律提供新卓见进小世界的网络的结构；为他们的性质的进一步的探索开创大街。

简介：Basedonimmuneclusteringandevolutionaryprogramming(EP),ahybridalgorithmtotraintheRBFnetworkisproposed.AnimmunefuzzyC-meansclusteringalgorithm(IFCM)isusedtoadaptivelyspecifytheamountandinitialpositionsoftheRBFcentersaccordingtoinputdataset;thentheRBFnetworkistrainedwithEPthattendstoglobaloptima.TheapplicationofthehybridalgorithminmultluserdetectionproblemdemonstratesthattheRBFnetworktrainedwiththealgorithmhassimplenetworkstructurewithgoodgeneralizationability.

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简介：非教师学习，组织工会，记忆，和噪音抵抗是特征的，人工的免疫系统是聪明的信息处理的领域里的一个研究焦点。基于有免疫力的有机体和同种细胞的选择的基本原则，这篇文章介绍聚类自我改编的算法特征的polyclonal。根据算法的核心想法，在人工的免疫系统的各种各样的有免疫力的操作符在聚类的进程被采用；而且，聚类数字根据亲密关系功能被调整。再结合操作员的介绍能有效地在一张产生人口提高单个抗体的差异，以便为答案的寻找的范围被扩大，算法的早熟的现象被避免。而且，不一致的变化操作符的介绍提高适应性并且优化本地答案寻求的性能。同时，算法的集中被加速。另外，文章也由采用Markov链证明算法的集中。数据模拟实验的结果证明算法能够获得合理、有效的簇。

简介：Inthispaper,weproposeadimension-reducing,K-meanclusteringprocedurebyProjectionPursuit(PP)techniquesoastoexploretheclusteringstructureofdatainhigh-dimensionalspaceintermsoflow-dimensionalprojectivepointsofdata,andweobtainthea.s.consistenceoftheestimatesoftheclustercentersandprojectionorientations.

简介：Dataclusteringisasignificantinformationretrievaltechniqueintoday’sdataintensivesociety.Overthelastfewdecadesavastvarietyofhugenumberofdataclusteringalgorithmshavebeendesignedandimplementedforallmostalldatatypes.Thequalityofresultsofclusteranalysismainlydependsontheclusteringalgorithmusedintheanalysis.Architectureofaversatile,lessuserdependent,dynamicandscalabledataclusteringmachineispresented.Themachineselectsforanalysis,thebestavailabledataclusteringalgorithmonthebasisofthecredentialsofthedataandpreviouslyuseddomainknowledge.Thedomainknowledgeisupdatedoncompletionofeachsessionofdataanalysis.

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简介：Formanyclusteringalgorithms,itisveryimportanttodetermineanappropriatenumberofclusters,whichiscalledclustervalidityproblem.Inthispaper,anewclusteringvalidityassessmentindexisproposedbasedonanovelmethodtoselectthemarginpointbetweentwoclustersforin-ter-clustersimilaritymoreaccurately,andprovidesanimprovedscatterfunctionforintra-clustersimilarity.Simulationresultsshowtheeffectivenessoftheproposedindexonthedatasetsunderconsiderationregardlessofthechoiceofaclusteringalgorithm.

简介：TheChi-Chiearthquakein1999causeddisastrouslandslides,whichtriggerednumerousdebrisflowsandkilledhundredsofpeople.Acriticalrainfallintensitylineforeachdebris-flowstreamisstudiedtopreventsuchadisaster.However,settingrainfalllinesfromincompletedataisdifficult,sothisstudyconsideredeightcriticalfactorstogroupstreams,suchthatstreamswithinaclusterhavesimilarrainfalllines.Ageneticalgorithmisappliedtogroup377debris-flowstreamsselectedfromthecenterofanareaaffectedbytheChi-Chiearthquake.Thesestreamsaregroupedintosevenclusterswithdifferentcharacteristics.Theresultsrevealthattheproposedmethodeffectivelygroupsdebris-flowstreams.

简介：在轻原子核的簇结构的学习在这些年里正在延长到重原子核。至于稳定的N=Z原子核，从更轻的8，12C原子核到更重的20Ne甚至40Ca和44Ti中等原子核，簇结构好学习并且证实。在重原子核，由于统治吝啬的领域，簇结构的存在不作为轻原子核清楚，但是一些线索被作出对有利的裁决特别地，在一些原子核显示core+簇结构208在212Po。我们在重原子核关于聚类的效果的理论、试验性的探索考察某最近的进步。我们也从腐烂的看法讨论重原子核的可能的簇结构。

简介：Mostoftheearlierworkonclusteringmainlyfocusedonnumericdatawhoseinherentgeometricpropertiescanbeexploitedtonaturallydefinedistancefunctionsbetweendatapoints.However,dataminingapplicationsfrequentlyinvolvemanydatasetsthatalsoconsistsofmixednumericandcategoricalattributes.Inthispaperwepresentaclusteringalgorithmwhichisbasedonthek-meansalgorithm.Thealgorithmclustersobjectswithnumericandcategoricalattributesinawaysimilartok-means.Theobjectsimilaritymeasureisderivedfrombothnumericandcategoricalattributes.Whenappliedtonumericdata,thealgorithmisidenticaltothek-means.Themainresultofthispaperistoprovideamethodtoupdatethe'clustercenters'ofclusteringobjectsdescribedbymixednumericandcategoricalattributesintheclusteringprocesstominimisetheclusteringcostfunction.Theclusteringperformanceofthealgorithmisdemonstratedwiththetwowellknowndatasets,namelycreditapprovalandabalonedatabases.

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简介：Thispaperpresentsanewefficientalgorithmforclusteringcategoricaldata,Squeezer,whichcanproducehighqualityclusteringresultsandatthesametimedeservegoodscalability.TheSqueezeralgorithmreadseachtupletinsequence,eitherassigningttoanexistingcluster(initiallynone),orcreatingtasanewcluster,whichisdeterminedbythesimilaritiesbetweentandclusters.Duetoitscharacteristics,theproposedalgorithmisextremelysuitableforclusteringdatastreams,wheregivenasequenceofpoints,theobjectiveistomaintainconsistentlygoodclusteringofthesequencesofar,usingasmallamountofmemoryandtime.OutlierscanalsobehandledefficientlyanddirectlyinSqueezer.Experimentalresultsonreal-lifeandsyntheticdatasetsverifythesuperiorityofSqueezer.

简介：Imagesegmentation,asabasicbuildingblockformanyhigh-levelimageanalysisproblems,hasattractedmanyresearchattentionsoveryears.Existingapproaches,however,aremainlyfocusingontheclusteringanalysisinthesinglechannelinformation,i.e.,eitherincolororspatialspace,whichmayleadtounsatisfactorysegmentationperformance.Consideringthespatialandcolorspacesjointly,thispaperproposesanewhierarchicalimagesegmentationalgorithm,whichalternatelyclusterstheimageregionsincolorandspatialspacesinafinetocoarsemanner.Withoutlosingtheperceptualconsistence,theproposedalgorithmachievesthesegmentationresultusingonlyveryfewnumberofcolorsaccordingtouserspecification.

简介：Themainfunctionofelectronicsupportmeasuresystemistodetectthreatingsignalsinordertotakecountermeasuresagainstthem.Toaccomplishthisobjective,aprocessofassociatingeachinterleavedpulsewithitsemittermustbedone.Thisprocessistermedsortingorde-interleaving.Anovelpointsymmetrybasedradarsorting(PSBRS)algorithmisaddressed.Inordertodealwithallkindsofradarsignals,thesymmetrymeasuredistanceisusedtoclusterpulsesinsteadoftheconventionalEuclideandistance.Thereferencepointsofthesymmetricalclustersareinitializedbythealternativefuzzyc-means(AFCM)algorithmtoamelioratetheeffectsofnoiseandthefalsesorting.Besides,thedensityfiltering(DF)algorithmisproposedtodiscardthenoisepulsesorclutter.Theperformanceofthealgorithmisevaluatedundertheeffectsofnoiseandmissingpulses.IthasbeenobservedthatthePSBRSalgorithmcancopewithalargenumberofnoisepulsesanditiscompletelyindependentofmissingpulses.Finally,PSBRSiscomparedwithsomebenchmarkalgorithms,andthesimulationresultsrevealthefeasibilityandefficiencyofthealgorithm.

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