【摘要】 聚类分析是无监督分类过程,其目的在于把目标对象划分为一系列有意义的组(或称类),使得每个组中的目标尽量“相似”或“接近”,而不同组的目标尽可能“相异”或“远离”。从而有助于发现目标的分布模式和目标间的相互关系。评估聚类质量的问题,称为聚类有效性分析。介绍一些典型分类算法,并提出了一种新的聚类有效性分析指标。更多还原

【Abstract】 Cluster analysis is an unsupervised classification process.It aims at classifying objects into meaningful groups,making objects in one group are much more similar than objects in different groups.And,therefore helps to discover distribution patterns and correlations of objects.To evaluate clustering results is the main subject of cluster validity.Some typical clustering methods are introduced and a new validation method based on K-means clustering is proposed.更多还原