Scalable semi-supervised clustering by spectral kernel learning ?
We learn a smaller matrix than the full kernel matrix that it retains the performance. The number of free parameters in our method is flexible and we can set it manually. Our method considerably alleviates the time cost of the kernel learning problem. The kernel learning phase is properly adapted to the clustering phase in our method.
scalable semi-supervised clustering spectral kernel learning laplacian constraint