{"title":"动态模糊聚类及最佳聚类效果研究","authors":"Dong-sheng Zhang, Chao Ji","doi":"10.1109/CCPR.2009.5344147","DOIUrl":null,"url":null,"abstract":"Aim at fuzzy clustering method based on transitive closure, the result of λ-level-set is arbitrary. To avoid the wrong clustering result causing by improper λ value, one scheme is presented, which makes use of dynamic clustering method to get all meaningful possibility of clustering, and then compares inner-class distance and inter-class distance respectively, and introduces F test method using in mathematical statistics to decide the best clustering scheme. Simulation result shows that the way is concise, effective and credible.","PeriodicalId":354468,"journal":{"name":"2009 Chinese Conference on Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on Dynamic Fuzzy Clustering and the Best Effect of Clustering\",\"authors\":\"Dong-sheng Zhang, Chao Ji\",\"doi\":\"10.1109/CCPR.2009.5344147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim at fuzzy clustering method based on transitive closure, the result of λ-level-set is arbitrary. To avoid the wrong clustering result causing by improper λ value, one scheme is presented, which makes use of dynamic clustering method to get all meaningful possibility of clustering, and then compares inner-class distance and inter-class distance respectively, and introduces F test method using in mathematical statistics to decide the best clustering scheme. Simulation result shows that the way is concise, effective and credible.\",\"PeriodicalId\":354468,\"journal\":{\"name\":\"2009 Chinese Conference on Pattern Recognition\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPR.2009.5344147\",\"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 Chinese Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPR.2009.5344147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Dynamic Fuzzy Clustering and the Best Effect of Clustering
Aim at fuzzy clustering method based on transitive closure, the result of λ-level-set is arbitrary. To avoid the wrong clustering result causing by improper λ value, one scheme is presented, which makes use of dynamic clustering method to get all meaningful possibility of clustering, and then compares inner-class distance and inter-class distance respectively, and introduces F test method using in mathematical statistics to decide the best clustering scheme. Simulation result shows that the way is concise, effective and credible.