Data Mining Knowledge Discovery Agglomerative Hierarchical Clustering
Issue Date:
2008
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
The purpose of this paper is to explain the notion of clustering and a concrete clustering method-
agglomerative hierarchical clustering algorithm. It shows how a data mining method like clustering can be applied
to the analysis of stocks, traded on the Bulgarian Stock Exchange in order to identify similar temporal behavior of
the traded stocks. This problem is solved with the aid of a data mining tool that is called XLMiner™ for Microsoft
Excel Office.
