{"title":"基于模糊等价关系的聚类方法","authors":"A. Raut, G. Bamnote","doi":"10.1109/ICCCT.2011.6075209","DOIUrl":null,"url":null,"abstract":"Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy equivalence relation","PeriodicalId":285986,"journal":{"name":"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Clustering method based on fuzzy equivalence relation\",\"authors\":\"A. Raut, G. Bamnote\",\"doi\":\"10.1109/ICCCT.2011.6075209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy equivalence relation\",\"PeriodicalId\":285986,\"journal\":{\"name\":\"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCT.2011.6075209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT.2011.6075209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering method based on fuzzy equivalence relation
Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy equivalence relation