Search Results for author: Shenfei Pei

Found 2 papers, 1 papers with code

Local $K$-means: An Efficient Optimization Algorithm And Its Generalization

no code implementations • NeurIPS 2021 • Feiping Nie, Shenfei Pei, Rong Wang, Liang Zhang, Jun Wu, Qinglong Chang, Xuelong Li

We also developed a general model that unified LKM, KSUMS, and SC, and discussed the connection among them.

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Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut

1 code implementation • NeurIPS 2020 • Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li

In particular, over 15x and 7x speed-up can be obtained with respect to $k$-means on the synthetic dataset of 1 million samples and the benchmark dataset (CelebA) of 200k samples, respectively [GitHub].

Clustering

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