基于聚類(lèi)的樸素貝葉斯分類(lèi)模型的研究與應(yīng)用.pdf

1、合肥工業(yè)大學(xué)碩士學(xué)位論文基于聚類(lèi)的樸素貝葉斯分類(lèi)模型的研究與應(yīng)用姓名：張亞萍申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：胡學(xué)鋼20061001ResearchandApplicationofNaiveBayesianClassificationModelBasedOilClusteringAlgorithmsAbstractTheclassificationisanimportantresearchbranchinthedatami

2、ningdomainTherearemanyamazingachievementshavebeenobtainedOwingtoitshighlyefficienciesandhighlyprecisecalculation，aswellasitsstricttheoreticalfoundation，NaiveBayesianClassifierhasobtainedwidespreadapplicationHowever，itsco

3、nditionindependenceassumptionandperfectiondatarequisitionlimititsrealapplicationThelocalsearchingabilityofk—meansalgorithmisexerted，andthepreciseofNaiveBayesianClassifierimprovedItcansolveclassificationproblemeffectively

4、ThemainworkofthedissertationiSasfollows：1IntroducingandanalyzingkmeansalgorithmsofclusteringalgorithmsandNaiveBayesianClassifieralgorithmThebasictheoryofNaiveBayesianisstudied，andsomecommonmodelsofNaiveBayesianClassifier

5、arediscussed2ANaiveBayesianclassificationbasedonclusteringprinciple(CNBC)byintroducingclusteringalgorithmintoNaiveBayesianclassificationThesimilaritybetweeneveryrecorderinabsentdatasubsetsandthecentersKclusteriscalculate

6、dbyclusteringcompletedatasubsetsofinitialdatabykmeansalgorithm，thentherecorderissettothenearestclusterandtheabsentvalueoftherecordisfilledbythecorrespondingattributeoftheclusterfinallythehandleddatasetisclusteredbyNaiveB

7、ayesianclassificationalgorithmTheexperimentsshowthatNaiveBayesianclassificationbasedonclusteringalgorithmshasthehigherpreciseofclusteringcomparingwithNaiveBayesianclassification3ThemodelofNaiveBayesianClassifierbasedoncl

8、usteringalgorithmsisdesignedtohelpthestudentstoselectemploymentorcontinuestudyinginuniversityByconstructingthemodelandusingtheexperiencegainedbythestudentsinthepastintheirselectionofspecialties，studentscanbasetheircondit