Enhanced Social Web Clustering Algorithm of Mining Information

HE Qiu-fang; CENG Qi-jie; CAI Yan-guang

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Enhanced Social Web Clustering Algorithm of Mining Information

更新时间：2026-09-04

- Enhanced Social Web Clustering Algorithm of Mining Information
- Vol. 30, Issue 2, Pages: 74-77(2013)
- 作者机构：
  
  1. 1 广东轻工职业技术学院机构计算机系,广东,广州,510000
  2. 2 广东工业大学机构自动化学院,广东,广州,510000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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贺秋芳, 曾启杰, 蔡延光. 挖掘用户标签的增强型社区网页聚类算法[J]. 微电子学与计算机, 2013, 30(2): 74-77.

HE Qiu-fang, CENG Qi-jie, CAI Yan-guang. Enhanced Social Web Clustering Algorithm of Mining Information[J]. 2013, 30(2): 74-77.
贺秋芳, 曾启杰, 蔡延光. 挖掘用户标签的增强型社区网页聚类算法[J]. 微电子学与计算机, 2013, 30(2): 74-77. DOI：

HE Qiu-fang, CENG Qi-jie, CAI Yan-guang. Enhanced Social Web Clustering Algorithm of Mining Information[J]. 2013, 30(2): 74-77. DOI：

摘要

网页的内容信息对于提高聚类质量来说并不完全够用

针对网络社区网页之间存在的天然链接关系

本文提出了一种挖掘用户标签的增强型社区网页聚类算法.本文采用多种距离度量方法

并挖掘网页链接关系

然后将网页的内容信息相似度和链接关系结合起来进行聚类.实验表明

提出的算法是有效的.

Abstract

With the development of Internet

textual content is not enough for web clustering sometimes.This paper proposes mining information for social web clustering algorithm.User information of pages is mined

including the link information

tag information.Experimental results show that the proposed social web clustering algorithm using mining information is effective.

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