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In other words, the inequality Corollary 1 For every melody To obtain an overall view of these metric spaces might be worth trying. In particular, comparing The Hausdorff distance will be used here mainly to take into account the relative position of the subsets in a melody. Another natural field of application for this measure of proximity is melodic similarity. This appears to be an interesting topic in its own right with considerable relevance (see Selfridge-Fields, 1998). Example 4 As an illustration, we mention the results of the computation of mutual Hausdorff distances between the phrases generated by Baroni and Jacoboni on the one hand, and between the Bach chorale lines, on the other. On the whole, the former stay “closer together” than the latter. With the normalization mentioned in Section 2, the mutual Hausdorff distances of the Bach chorale lines extend up to 123.6 with 135 out of the 1,830 exceeding 77.5, whereas all of the Hausdorff distances of the generated phrases are smaller than 77.5. Hence, the melodies from the Bach sample do not only have “more” (in the sense of larger SRs) and “higher” (in the sense of smaller ORs) symmetry, but are also more “diverse” (in the sense of larger mutual distances). Further distinguishing features will arise in connection with the combinatorial characteristics to be introduced in the next section. Now we turn to the definition of a slight variation of the melodic weight first introduced in Mazzola and Zahorka (1996). Definition 9 Let ![]() ![]() Thus the Hausdorff |