{"title":"模糊聚类算法的研究","authors":"Shilong Xue","doi":"10.1109/MMAR.2011.6031367","DOIUrl":null,"url":null,"abstract":"The traditional clustering algorithms and the basic idea were studied, and the algorithm of the c- maximum clustering and the fuzzy c- maximum clustering were presented. A set of programs development with computer for the whole theory have been worked out which makes it possible to achieve the goal of diagnosis on-line fault.","PeriodicalId":440376,"journal":{"name":"2011 16th International Conference on Methods & Models in Automation & Robotics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on fuzzy clustering algorithm\",\"authors\":\"Shilong Xue\",\"doi\":\"10.1109/MMAR.2011.6031367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional clustering algorithms and the basic idea were studied, and the algorithm of the c- maximum clustering and the fuzzy c- maximum clustering were presented. A set of programs development with computer for the whole theory have been worked out which makes it possible to achieve the goal of diagnosis on-line fault.\",\"PeriodicalId\":440376,\"journal\":{\"name\":\"2011 16th International Conference on Methods & Models in Automation & Robotics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 16th International Conference on Methods & Models in Automation & Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMAR.2011.6031367\",\"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 16th International Conference on Methods & Models in Automation & Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2011.6031367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The traditional clustering algorithms and the basic idea were studied, and the algorithm of the c- maximum clustering and the fuzzy c- maximum clustering were presented. A set of programs development with computer for the whole theory have been worked out which makes it possible to achieve the goal of diagnosis on-line fault.
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