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Found 2 papers, 1 papers with code
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning
Construction of dictionaries using nonnegative matrix factorisation (NMF) has extensive applications in signal processing and machine learning.
clusterBMA: Bayesian model averaging for clustering
In this work we introduce clusterBMA, a method that enables weighted model averaging across results from multiple unsupervised clustering algorithms.
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