基于统计检验指导的聚类分析方法
A NOVEL CLUSTER ANALYSIS METHOD SUPERVISED BY STATISTICAL TESTS
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摘要: 本文提出了一种基于统计检验指导的聚类分析方法,该方法同时处理聚类趋势、聚类分析和聚类有效性三个数据分析中的关键问题,为模式无监督分类的合理性和有效性提供了分析工具。在大样本情况下更能体现该方法的优越性。实验结果证明了它的有效性。Abstract: A novel cluster analysis method supervised by statistical tests is proposed in this paper, which processes three key problems in data analysis, cluster tendency, cluster analysis and cluster validity, simultaneously. So, it provides an analysis tool for the validity and reasonableness of pattern unsupervised classification, especially in the case of large number of samples. The experimental results demonstrate its effectiveness.
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