Curvilinear Component Analysis
		, Nonlinear mapping technique developed for self-organizing neural network , Characteristics – More efficient compared to other non-linear mapping algorithms: MDS-O(M3), Sammon’s mapping -O(M2N),CCA-O(M2) – Precise distance cost function to reduce high dimensional data with high accuracy – Far less problem of local minima , MDS: computationally intensive post-processing step – Self-learning capability for adding new nodes , Not yet explored further in our work though