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一种基于模糊加权的改进文本聚类方法
  • ISSN号：1000-7180
  • 期刊名称：《微电子学与计算机》
  • 时间：0
  • 分类：TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]解放军理工大学理学院,江苏南京210007
  • 相关基金：国家自然科学基金项目（71071161）
作者： 刘海峰[1], 姚泽清[1], 刘守生[1]
关键词： K-MEANS算法, 模糊聚类, 文本聚类, 模糊加权, k-means algorithm, fuzzy clustering, text clustering, fuzzy weighting
中文摘要：

首先提出了一种优化初始中心点方法用以解决聚类的局部最优问题.同时通过样本的模糊加权减少边缘噪音数据对聚类效率的影响.文本聚类试验表明,该模糊文本聚类算法取得较好的聚类效果.

英文摘要：

This paper proposes a new way that selects initial cluster center in order to solve the partially most superior phenomenon.By using the fuzzy weighting on the samples,this improved method decreases the influence that the k-means algorithm is very sensitive to the isolated point.Lastly,we have a test about text clustering and the result shows that this method obtains good clustering effect.

同期刊论文项目
直觉模糊聚类理论及其应用
期刊论文 62 著作 2
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期刊信息
  • 《微电子学与计算机》
  • 中国科技核心期刊
  • 主管单位:中国航天科技集团公司
  • 主办单位:中国航天科技集团公司第九研究院第七七一研究所
  • 主编：李新龙
  • 地址：西安市雁塔区太白南路198号
  • 邮编：710065
  • 邮箱：mc771@163.com
  • 电话：029-82262687
  • 国际标准刊号：ISSN：1000-7180
  • 国内统一刊号：ISSN：61-1123/TN
  • 邮发代号:52-16
  • 获奖情况:
  • 航天优秀期刊,陕西省优秀期刊一等奖
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:17909