{"title":"系统实现了模糊文档聚类和快速模糊分类","authors":"M. Rojček","doi":"10.1109/CINTI.2014.7028711","DOIUrl":null,"url":null,"abstract":"The paper introduces uncontrolled fuzzy document clustering and fast fuzzy classification. This system is based on KMART neural network that realizes clustering, and original Fuzzy classification algorithm on the base of Fuzzy ART network that realizes classification. Both algorithms share their weights. Uncontrolled system has two separate flows: by first one we influence structure of categories (plasticity) and second one classifies without possibility to influence defined structure (stability). The paper shows legitimacy of such an approach with regard on quality and speed of classification.","PeriodicalId":435053,"journal":{"name":"2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"System for fuzzy document clustering and fast fuzzy classification\",\"authors\":\"M. Rojček\",\"doi\":\"10.1109/CINTI.2014.7028711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper introduces uncontrolled fuzzy document clustering and fast fuzzy classification. This system is based on KMART neural network that realizes clustering, and original Fuzzy classification algorithm on the base of Fuzzy ART network that realizes classification. Both algorithms share their weights. Uncontrolled system has two separate flows: by first one we influence structure of categories (plasticity) and second one classifies without possibility to influence defined structure (stability). The paper shows legitimacy of such an approach with regard on quality and speed of classification.\",\"PeriodicalId\":435053,\"journal\":{\"name\":\"2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2014.7028711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2014.7028711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System for fuzzy document clustering and fast fuzzy classification
The paper introduces uncontrolled fuzzy document clustering and fast fuzzy classification. This system is based on KMART neural network that realizes clustering, and original Fuzzy classification algorithm on the base of Fuzzy ART network that realizes classification. Both algorithms share their weights. Uncontrolled system has two separate flows: by first one we influence structure of categories (plasticity) and second one classifies without possibility to influence defined structure (stability). The paper shows legitimacy of such an approach with regard on quality and speed of classification.