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Amplitudes instead of MFCC's. Interestingly, the giselle music & movement are closer together using this measure... perhaps hinting that timbre wasn't such a structural element in the work, while variation in amplitude (beats?) were. Makes sense. Using self-similarity matrices since the recurrence plots were too much tweaking.

I used gifs as the inputs instead of text files, which seemed to increase the accuracy. Using text files, two matrices of the same data (movement data), which did look extremely similar, were not clustered together. Switching to gifs solved the problem. Will probably redo the MFCC's that way as well. Seems writing the files to matlab data might not be the best thing for this process.