This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding

The number of states in GMM as the generative model of the frames is obtained using k-means algorithm. This also helps to initialize the mean vector and the covariance matrix of the individual state of the GMM. The training LPC frames collected fro