{"title":"基于GIS的模糊聚类结果可视化","authors":"J. Tan, Rujing Wang, Bingyu Sun","doi":"10.1109/WKDD.2009.12","DOIUrl":null,"url":null,"abstract":"Visualizing the result of clustering is an important part of pattern recognition research. A novel method of visualizing the result of fuzzy clustering base on GIS is proposed, which doesn’t involve dimensionality reduction so that the key features are not missed. The experiment on real dataset shows its effectiveness.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visualizing the Result of Fuzzy Clustering Using GIS\",\"authors\":\"J. Tan, Rujing Wang, Bingyu Sun\",\"doi\":\"10.1109/WKDD.2009.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visualizing the result of clustering is an important part of pattern recognition research. A novel method of visualizing the result of fuzzy clustering base on GIS is proposed, which doesn’t involve dimensionality reduction so that the key features are not missed. The experiment on real dataset shows its effectiveness.\",\"PeriodicalId\":143250,\"journal\":{\"name\":\"2009 Second International Workshop on Knowledge Discovery and Data Mining\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Workshop on Knowledge Discovery and Data Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WKDD.2009.12\",\"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 Second International Workshop on Knowledge Discovery and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2009.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualizing the Result of Fuzzy Clustering Using GIS
Visualizing the result of clustering is an important part of pattern recognition research. A novel method of visualizing the result of fuzzy clustering base on GIS is proposed, which doesn’t involve dimensionality reduction so that the key features are not missed. The experiment on real dataset shows its effectiveness.