Fig. 2From: A subspace recursive and selective feature transformation method for classification tasksExample of RST The leftmost plot is the original data set with 3 classes; on its right are 3 transformations learnt by RST. Each of the classes can be seen separated from the rest of the two classes. The classifier will be an ensemble of 3 sub classifiers. Upon training a classifier, the i-th sub-classifier in the ensemble learns on data set that has been transformed by the i-th projection matrix. Upon predicting an unknown sample, the sample will be transformed by the 3 projection matrices into 3 transformed samples for the ensemble to predictBack to article page