{"title":"通过优化协同系数实现横向协同模糊聚类","authors":"Xiao Wang, Fusheng Yu, Huixin Zhang","doi":"10.1109/CCDC.2012.6243096","DOIUrl":null,"url":null,"abstract":"The problem of horizontal collaboration clustering which collaboration coefficient is usually given by priori knowledge is carefully researched. This paper provides an approach to obtain the optimal weight by taking the weight factor as a variable in the term of the objective function. Theory analysis and experimental results demonstrate that the new algorithm can get better clustering result.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implement the horizontal collaborative fuzzy clustering by optimizing the collaboration coefficient\",\"authors\":\"Xiao Wang, Fusheng Yu, Huixin Zhang\",\"doi\":\"10.1109/CCDC.2012.6243096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of horizontal collaboration clustering which collaboration coefficient is usually given by priori knowledge is carefully researched. This paper provides an approach to obtain the optimal weight by taking the weight factor as a variable in the term of the objective function. Theory analysis and experimental results demonstrate that the new algorithm can get better clustering result.\",\"PeriodicalId\":345790,\"journal\":{\"name\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2012.6243096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6243096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implement the horizontal collaborative fuzzy clustering by optimizing the collaboration coefficient
The problem of horizontal collaboration clustering which collaboration coefficient is usually given by priori knowledge is carefully researched. This paper provides an approach to obtain the optimal weight by taking the weight factor as a variable in the term of the objective function. Theory analysis and experimental results demonstrate that the new algorithm can get better clustering result.