Analyzing Clustering Effects Across Time
本文描述了几种针对聚类应用的图形统计方法，用于检查聚类内部一致性及跨时间变化，并用48家企业的经济数据进行了演示。
Abstract Several graphical statistical methods tailored particularly for clustering applications are described and discussed. Certain techniques give ways of examining the internal cohesiveness of clusters, both across all variables and in terms of particular variables. Other graphical methods are concerned with relationships within and between clusters and with variables exogenous to the clustering. The methods focus on changes in cluster characteristics across two successive time periods. These techniques are illustrated with data from a cluster analysis using economic characteristics of 48 firms from one industry.