ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Issue: Data-driven Intelligence for Wireless Networking: Volume 9 Issue 1, October 2017
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Nonnegative matrix factorization (NMF) is one of the most popular data representation methods in the field of computer vision and pattern recognition. High-dimension data are usually assumed to be sampled from the submanifold embedded in the original high-dimension space. To preserve the locality geometric structure of the data, k -nearest ...
image clustering, refined-graph, Data representation, least squares regression, nonnegative matrix factorization (NMF)