Kotropoulos
The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)...
Platforms: Matlab
License: Freeware | Size: 573.44 KB | Download (45): Gaussian Mixture Modeling GUI (GMM DEMO) Download |
The Mahalanobis distance between a pattern measurement vector of dimensionality D and the center of the class it belongs to is distributed as a chi^2 with D degrees of freedom, when an infinite training set is used. However, the distribution of Mahalanobis distance becomes either Fisher or Beta...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (50): Information loss of the Mahalanobis distance in high dimensions: Matlab implementation Download |
The DEMO includes 5 feature selection algorithms:d-deD? Sequential Forward Selection (SFS)d-deD? Sequential Floating Forward Selection (SFFS)d-deD? Sequential Backward Selection (SBS)d-deD? Sequential Floating Backward Selection (SFBS)d-deD? ReliefFTwo CCR estimation methods:d-deD?...
Platforms: Matlab
License: Freeware | Size: 3.23 MB | Download (48): Feature Selection using Matlab Download |