基于某加權(quán)直覺模糊集合地聚類模型

《基于某加權(quán)直覺模糊集合地聚類模型》由會員上傳分享，免費在線閱讀，更多相關(guān)內(nèi)容在應(yīng)用文檔-天天文庫。

1、實用文案基于加權(quán)直覺模糊集合的聚類模型摘要:針對已有基于直覺模糊集的聚類方法的局限性，提出了一種基于加權(quán)直覺模糊集合的聚類模型——wifscm（clusteringmodelbasedonweightedintuitionisticfuzzysets）。在該模型中，提出了特定特征空間下的等價樣本和加權(quán)直覺模糊集合的概念；并推導(dǎo)出基于等價樣本和加權(quán)直覺模糊集合的直覺模糊聚類算法的目標(biāo)函數(shù)，利用該目標(biāo)函數(shù)推導(dǎo)出直覺模糊聚類中心迭代算法和隸屬度矩陣迭代算法；定義了基于加權(quán)直覺模糊集合的密度函數(shù)，確定了初始聚類中心，減少了迭代次數(shù)。通過灰度

2、圖像分割實驗，證明了該模型的有效性，同時與普通直覺模糊集fcm聚類算法(ifcm)相比，聚類速度提高近百倍。關(guān)鍵詞:直覺模糊集；加權(quán)直覺模糊集合；聚類中心；等價樣本；隸屬度矩陣；密度函數(shù)clusteringmodelbasedonweightedintuitionisticfuzzysetschangyan*,zhangshi.bin(schoolofnetworkengineering,chengduuniversityofinformationtechnology,chengdusichuan610225,chinaa

3、bstract:tomakeupthelimitationsofexistingclustering標(biāo)準(zhǔn)文檔實用文案methodsbasedonintuitionisticfuzzysets,aclusteringmodelcalledwifscm(clusteringmodelbasedonweightedintuitionisticfuzzysets）isproposedbasedonweightedintuitionisticfuzzysets.inthismodel,theconceptsofequivalentsample

4、sandweightedintuitionisticfuzzysetsisputforwardinspecialfeaturespace,andbasedonwhichtheobjectivefunctionofintuitionisticfuzzyclusteringalgorithmisproposed.iterativealgorithmsofclusteringcenterandmatrixofmembershipdegreeareinferredfromtheobjectivefunction.densityfunctio

5、nbasedonweightedintuitionisticfuzzysetsisdefined,andinitialclusteringcenterisgottentoreduceiterativetimes.theexperimentofgrayimagesegmentationshowsthatwifscmiseffective,anditisfasterthanifcmalgorithmnearlyahundredtimes.concerningthelimitationsoftheexistingclusteringmet

6、hodsbasedonintuitionisticfuzzysets,aclusteringmodelcalledweightedintuitionisticfuzzysetmodel(wifscm)(clusteringmodelbasedonweightedintuitionisticfuzzysets）wasproposedbasedonweightedintuitionisticfuzzysets.inthismodel,theconceptsofequivalentsampleandweightedintuitionist

7、icfuzzyset標(biāo)準(zhǔn)文檔實用文案wereputforwardinspecialfeaturespace,andbasedonwhichtheobjectivefunctionofintuitionisticfuzzyclusteringalgorithmwasproposed.iterativealgorithmsofclusteringcenterandmatrixofmembershipdegreewereinferredfromtheobjectivefunction.thedensityfunctionbasedonwe

8、ightedintuitionisticfuzzysetswasdefined,andinitialclusteringcenterwasgottentoreduceiterativetimes.theexperimentofgray