{"title":"广义Dunn指数的聚类验证","authors":"J. Bezdek, N. Pal","doi":"10.1109/ANNES.1995.499469","DOIUrl":null,"url":null,"abstract":"Some generalizations of Dunn's (1973) index for validation of crisp clusters are discussed. Numerical examples suggest that this index, which uses the standard measures for inter-set distance and set diameter can be improved by using different functions for either or both of these operators.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"104","resultStr":"{\"title\":\"Cluster validation with generalized Dunn's indices\",\"authors\":\"J. Bezdek, N. Pal\",\"doi\":\"10.1109/ANNES.1995.499469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some generalizations of Dunn's (1973) index for validation of crisp clusters are discussed. Numerical examples suggest that this index, which uses the standard measures for inter-set distance and set diameter can be improved by using different functions for either or both of these operators.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"104\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANNES.1995.499469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cluster validation with generalized Dunn's indices
Some generalizations of Dunn's (1973) index for validation of crisp clusters are discussed. Numerical examples suggest that this index, which uses the standard measures for inter-set distance and set diameter can be improved by using different functions for either or both of these operators.