CMA： an efficient index algorithm of clustering supporting fast retrieval of large image databases-中国期刊网

摘要 Torealizecontent-basedretrievaloflargeimagedatabases,itisrequiredtodevelopanefficientindexandretrievalscheme.ThispaperproposesanindexalgorithmofclusteringcalledCMA,whichsupportsfastretrievaloflargeimagedatabases.CMAtakesadvantagesofk-meansandself-adaptivealgorithms.Itissimpleandworkswithoutanyuserinteractions.Therearetwomainstagesinthisalgorithm.Inthefirststage,itclassifiesimagesinadatabaseintoseveralclusters,andautomaticallygetsthenecessaryparametersforthenextstage-k-meansiteration.TheCMAalgorithmistestedonalargedatabaseofmorethantenthousandimagesandcompareitwithk-meansalgorithm.Experimentalresultsshowthatthisalgorithmiseffectiveinbothprecisionandretrievaltime.

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CMA： an efficient index algorithm of clustering supporting fast retrieval of large image databases

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CMA： an efficient index algorithm of clustering supporting fast retrieval of large image databases

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