selfSimilarity

Parameters

Parameter label	I/O type	Data type	Mandatory parameter?	Default value
inputVec	input	matrix (2D numpy array)	yes	N/A
groupVec	input	vector	yes	N/A
selfSimilarityMatrix	output	2D numpy array	N/A	N/A

Functionality

Module converts a self-similarity matrix based on the Edit distance between note sequences. Each element in inputVec has a segment ID provided by the corresponding element of groupVec. Elements of inputVec with the same segment ID are grouped to sequences. The selfSimilarityMatrix contains the pair-wise similarity values between these sequences. The similarity is computed as 1 minus the Edit distance.

Here are some examples:

inputVec = [1,2,3,4,1,2,3,5,1,2,5,6,1,7,8,9]
groupVec = [0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3]
...
selfSimilarityMatrix = np.array([[1.,0.75,0.5,0.25],[0.75,1.,0.5,0.25],[0.5,0.5,1.,0.25],[0.25,0.25,0.25,1.]]