Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means
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DOI: 10.1109/tit.2017.2672725
Abstract: We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix, and therefore, subsequent… read more here.
Keywords: big data; sparsification big; preconditioned data; data applications ... See more keywords