A study of the optimality of PCA under spectral sparsification
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Date of publishing2018
Type of publicationconference paper
Principal component analisys (PCA) is a data analysis technique for mapping points in Rn to a two or three dimensional space. This dimensionality reduction preserves the natural grouping of points and information of data.