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Fig. 2 | Big Data Analytics

Fig. 2

From: A subspace recursive and selective feature transformation method for classification tasks

Fig. 2

Example 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 predict

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