Abstract: This paper applies clustering techniques and multi-dimensional scaling (MDS) analysis to a 500 x 500 composers'similarity/distance matrix. The objective is to visualizeor translate the similarity matrix into dendro- grams and maps of classical (European art) music composers. We construct dendrograms and maps for the Baroque, Classical ,and Romantic periods ,and a map that represents seven centuries of European art music in one single graph. Finally,we also use linear and non - linear canonical correlation analyses to identify variables underlying the dimen- sions generated by the MDS methodology.

Key words: mapping classical music composers, similarity measures, dendrograms, hierarchical cluste- ring, multidimensional scaling, canonical correlation, music information retrieval