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Fast Large-Scale Spectral Clustering via Explicit Feature Mapping
This project forked from liheua/fastesc
Fast Large-Scale Spectral Clustering via Explicit Feature Mapping
This set of m-files demonstrates the FastESC clustering algorithm and the Extended Basic Matrix Multiplication algorithm in [1]. "demoFastESC.m" shows FastESC on Iris dataset. "demoFastESC_EMNIST.m" shows FastESC on EMNIST-Digits dataset. "demo_BMM.m" shows the Basic Matrix Multiplication algorithm in P. Drineas, R. Kannan, and M. W. Mahoney, "Fast monte carlo algorithms for matrices i: Approximating matrix multiplication," SIAM Journal on Computing, vol. 36, no. 1, pp. 132-157, 2006. "demo_EBMM.m" shows the Extended Basic Matrix Multiplication algorithm, or Algorithm 1 and Theorem 1 in [1]. Run those demos in Matlab. Acknowledgment: [1] Li He, Nilanjan Ray and Hong Zhang, "Fast Large-Scale Spectral Clustering via Explicit Feature Mapping", submitted to IEEE Transactions on Cybernetics. Please cite this paper if you use the code to generate your results. [email protected]
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