Summation pollution of principal component analysis and an improved algorithm for location sensitive data
Author:
Affiliation:
1. Department of Computer Science University of Colorado Boulder Boulder Colorado USA
2. Department of Mathematics University of Macau Macau China
Funder
National Science Foundation
Publisher
Wiley
Subject
Applied Mathematics,Algebra and Number Theory
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2370
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3. Distributed estimation of principal eigenspaces
4. Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering
5. QuY OstrouchovG SamatovaN GeistA. Principal component analysis for dimension reduction in massive distributed data sets. Paper presented at: Proceedings of the IEEE International Conference on Data Mining (ICDM) Maebashi City Japan;2002. p. 134–153.
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