standard mode | Statistics category
- matrix (matrix_real) - the input data matrix (e.g. the MFCC descriptor over frames)
- mean (vector_real) - the mean of the values
- covariance (matrix_real) - the covariance matrix
- inverseCovariance (matrix_real) - the inverse of the covariance matrix
This algorithm estimates the single gaussian distribution for a matrix of feature vectors. For example, using the single gaussian on descriptors like MFCC with the symmetric Kullback-Leibler divergence might be a much better option than just the mean and variance of the descriptors over a whole signal.
An exception is thrown if the covariance of the input matrix is singular or if the input matrix is empty.
-  E. Pampalk, "Computational models of music similarity and their application in music information retrieval,” Vienna University of Technology, 2006.