abstract:Random subspace method (or attribute bagging) is an ensemble classifier that consists of several classifiers and outputs the class based on the outputs of these individual classifiers. Random subspace method is a generalization of the random forest algorithm.
Random Sampling Subspace Locality Preserving Projection (RSSLPP) method is proposed to improve the recognition performance ofasingle Locality Preserving Projection (LPP).