|Tags||scientific mathematics machine learning statistics numerics software-development c++ science-research|
4.40021 Aug 2014 14:57 major feature: - faster handling of subvectors by dot() - faster handling of aliasing by submatrix views - expanded batch insertion constructors for sparse matrices to add values at repeated locations - added clamp() for clamping values to be between lower and upper limits - added gmm_diag class for statistical modelling using Gaussian Mixture Models (GMM); includes multi-threaded implementation of k-means clustering and Expectation Maximisation (EM) algorithms
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