A User-Friendly visualization toolkit for machine learning: MLDemos. Extensible architecture, contains modules for classification (gaussian mixture models, kernel methods such as support vector machines, nearest neighbor, kernel PCA, boosting, multilayer perceptrons, linear classifiers), clustering (gaussian mixtures, kernel methods, k-means), regression, etc.