Manifold optimization for k-means clustering

Timothy Carson
Timothy Carson

international conference on sampling theory and applications, pp. 73-77, 2017.

Cited by: 8|Bibtex|Views2|

Abstract:

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 [5]. An extended version of this article, with further theory and numerical simulations will...More

Code:

Data:

Your rating :
0

 

Tags
Comments