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Found 2 papers, 1 papers with code
Quantum Clustering with k-Means: a Hybrid Approach
In particular, we exploit quantum phenomena to speed up the computation of distances.
Adaptive Nonnegative Matrix Factorization and Measure Comparisons for Recommender Systems
In this paper we propose new methods based on the NMF of the rating matrix and we compare them with some classical algorithms such as the SVD and the regularized and unregularized non-negative matrix factorization approach.
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