k-Means Clustering Is Matrix Factorization

23 Dec 2015Christian Bauckhage

We show that the objective function of conventional k-means clustering can be expressed as the Frobenius norm of the difference of a data matrix and a low rank approximation of that data matrix. In short, we show that k-means clustering is a matrix factorization problem... (read more)

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