Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2020
Turning big data into tiny data: Constant-size coresets for k-means, PCA, and projective clustering
Feldman, D., Schmidt, M. & Sohler, C., 2020, In: SIAM Journal on Computing. 49, 3, p. 601-657 57 p.
Research output: Contribution to journal › Article › peer-review

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