期刊名称：Annals of the University of Oradea : Economic Science
印刷版ISSN：1222-569X
电子版ISSN：1582-5450
出版年度：2009
卷号：XVIII
期号：04
出版社：University of Oradea
摘要：Previously we employed the Gene Trajectory Clustering methodology to search for different associations of the stocks
composing the DJA612
index [4] with the aim of finding different, logic clusters, supported by economic reasons, preferably
different than the classic, ―by industry‖ classification. In this paper we enter the insights of the clustering results from a
financial and business perspective, to see if the clustering results are validated by the market knowledge and history.
关键词：clustering model, data trajectory, cluster analysis
