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数据挖掘算法性能优化的研究与应用
引用本文:顾洪博,赵万平. 数据挖掘算法性能优化的研究与应用[J]. 长春理工大学学报(自然科学版), 2010, 33(1): 164-166,163. DOI: 10.3969/j.issn.1672-9870.2010.01.045
作者姓名:顾洪博  赵万平
作者单位:大庆石油学院计算机与信息技术学院,大庆,163318;大庆石油学院计算机与信息技术学院,大庆,163318
基金项目:黑龙江省自然科学基金(F200603)
摘    要:数据挖掘中经常使用k-means算法,它是经常使用的一种聚类分析算法,但易受初始聚类中心和聚类个数k的影响。因此对近年从算法原理、关键技术和优缺点等方面提出的较有代表性的关于初始聚类中心和k值确定的改进的k-means算法进行了分析。并选用知名数据集对一些典型算法进行测试和应用。上述工作将为数据挖掘的研究提供有益的参考。

关 键 词:聚类算法  性能优化  k-means

The Research and Application for Optimization of Performance based on the Data Mining Algorithm
GU Hongbo,ZHAO Wanping. The Research and Application for Optimization of Performance based on the Data Mining Algorithm[J]. Journal of Changchun University of Science and Technology, 2010, 33(1): 164-166,163. DOI: 10.3969/j.issn.1672-9870.2010.01.045
Authors:GU Hongbo  ZHAO Wanping
Affiliation:Daqing Petroleum Institute School of Computer&Information Technology Heilongjiang Province;Daqing 163318
Abstract:The classic algorithm of k-means is discussed,that is one of the most widespread methods in clustering based on the data mining. But it is sensitive to original clustering center and k. The research actuality and new progress in k-means algorithm in recent years are summarized in this paper. First,the analysis and induction of some representative improved kmeans algorithms about the original clustering center and optimization of k have been made from several aspects,such as the principle of algorithm,key te...
Keywords:cluster algorithm  performance optimization  k-means  
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