基于共现网络的层次模糊聚类网络信息组织

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2010-08-31 DOI:10.1109/WI-IAT.2010.86

Faraz Zaidi, G. Melançon

{"title":"基于共现网络的层次模糊聚类网络信息组织","authors":"Faraz Zaidi, G. Melançon","doi":"10.1109/WI-IAT.2010.86","DOIUrl":null,"url":null,"abstract":"In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks\",\"authors\":\"Faraz Zaidi, G. Melançon\",\"doi\":\"10.1109/WI-IAT.2010.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.\",\"PeriodicalId\":340211,\"journal\":{\"name\":\"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IAT.2010.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2010.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文提出了一种利用领域知识自动确定聚类数目及其初始值的层次模糊聚类算法。将该算法应用于一组网页，并与文献中已有的算法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks

In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

自引率

0.00%

发文量