Manifold optimization for k-means clustering
international conference on sampling theory and applications, pp. 73-77, 2017.
We introduce a manifold optimization relaxation for k-means clustering that generalizes spectral clustering. We show how to implement it as gradient descent in a compact manifold. We also present numerical simulations of the algorithm using Manopt . An extended version of this article, with further theory and numerical simulations will...More
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