{"title":"基于模糊粗糙集的文档聚类","authors":"Zhou Peng, Li Zhishu, Cheng Yang, Huang Zhiguo","doi":"10.1109/ICCSN.2009.94","DOIUrl":null,"url":null,"abstract":"High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in this paper.","PeriodicalId":177679,"journal":{"name":"2009 International Conference on Communication Software and Networks","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Document Clustering Based on Fuzzy Rough Set\",\"authors\":\"Zhou Peng, Li Zhishu, Cheng Yang, Huang Zhiguo\",\"doi\":\"10.1109/ICCSN.2009.94\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in this paper.\",\"PeriodicalId\":177679,\"journal\":{\"name\":\"2009 International Conference on Communication Software and Networks\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Communication Software and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2009.94\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2009.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in this paper.
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