A comparative study of nonlinear manifold learning methods for cancer microarray data classification

► An empirical comparison of nonlinear manifold learning techniques is presented. ► Methods were applied for dimensionality reduction in microarray data classification. ► LLE-based classifier emerged as the most effective method. ► Isomap turned out to be the second best alternative for dimensionality reduction.