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基于聚类的孤立点集探测算法
引用本文:曹文平. 基于聚类的孤立点集探测算法[J]. 现代计算机, 2008, 0(12)
作者姓名:曹文平
作者单位:襄樊学院计算机教学中心,襄樊441000
基金项目:湖北省教育厅科学技术研究项目 
摘    要:在分析现有的孤立点探测算法的基础上,提出一种新颖的基于聚类的孤立点集挖掘算法.该算法不但能够探测出所有的孤立点,还能根据孤立点产生的原因对这些孤立点进行分类。通过实验数据测试,本算法有较好的稳定性和性能的优越性。

关 键 词:孤立点集  孤立点探测  聚类

Algorithms for Detecting Outliers Sets Based on Clustering
CAO Wen-ping. Algorithms for Detecting Outliers Sets Based on Clustering[J]. Modem Computer, 2008, 0(12)
Authors:CAO Wen-ping
Affiliation:CAO Wen-ping(Computer Teaching Center,Xiangfan University,Xiangfan 441000)
Abstract:Proposes a novel approach to mine cluster based outliers based on the research on the algorithms for detecting outliers,this algorithm not only has the ability of mining outliers,but also has the ability of classifying the outliers based on its generating mechanism.The algorithm has favorable character of stabilization and performance.It can not only detect all the outliers sets,but also classify the outliers sets.
Keywords:Outlier  Outlier Sets  Outlier Detection  Clustering  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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