DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering. (arXiv:2205.06697v1 [cs.LG])

A Bayesian Deep Restricted Boltzmann-Kohonen architecture for data clustering
termed as DRBM-ClustNet is proposed. This core-clustering engine consists of a
Deep Restricted Boltzmann Machine (DRBM) for processing unlabeled data by
creating new features that are uncorrelated and have large variance with each
other. Next, the number of clusters are predicted using the Bayesian
Information Criterion (BIC), followed by a Kohonen Network-based clustering
layer. The processing of unlabeled data is done in three stages for efficient
clustering of the non-linearly separable …

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