动态聚类算法及其在医学数据上的应用

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6、hotresearchtopicindatamining．Inmedicaldataanalysisfield，miningmedicaldatabasedonclusteringalgorithmsnotonlyimprovestheanalysisaccuracyofthetypicalhugeamountofmedicaldata,butalsohelpsdiscoverthehiddenpatternsandknowledge，promotingthefurtherbetterunderstandingandtheadvanceofthemedicalscience．Trad

7、itionally，clusteringonmedicaldatasetsusuallyisbasedOIlstaticviews，usingstaticclusteringalgorithmssuchaSK—meansandthestaticspectralclusteringalgorithms．Allofthemjustclusterdatasetswithoutconsideringthetimeinformation．Withthetimeinformationhavingtobeconsidered,thetraditionalapproachappliesthestat

8、icclusteringmethodstothedatasetcollectedateachtimerepeatedly，ignoringtheinterrelationshipsamongthedatasetsofdifferenttimes．Inthisthesis，westudyevolutionaryclusteringalgorithmstoclusterdynamicmedicaldata．Consideringtherelationshipi