A meta-algorithm that learns cluster-specific embedding functions jointly with cluster assignments improves clustering and denoising over standard representation learning baselines.
Nonlinear principal component analysis using autoas- sociative neural networks,
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Cluster Specific Representation Learning
A meta-algorithm that learns cluster-specific embedding functions jointly with cluster assignments improves clustering and denoising over standard representation learning baselines.