However, the clustering approach is purely exploratory and requires an external similarity measure.

Combining these elements with the two principles noted above, a similarity measure is constructed as follows:

SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.

This has led to the use of similarity measures such as mutual information.

It can be viewed as a similarity measure over sets:

The distance is later used in computing the similarity measure.

The most common methods therefor are clustering and the application of statistical similarity measures.

Mapping from feature to distance space by using similarity measure.

However, we did not see improvement using this method with correlation as the similarity measure.

Since ratios between note lengths are used, the tempo of the performance does not affect the rhythmic similarity measure.