N2D shows that applying UMAP to an autoencoder embedding before a shallow GMM clusterer yields competitive or state-of-the-art clustering accuracy on several benchmarks.
Deep clustering for unsupervised learning of visual features,
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N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
N2D shows that applying UMAP to an autoencoder embedding before a shallow GMM clusterer yields competitive or state-of-the-art clustering accuracy on several benchmarks.