How do deep clustering methods like DeepCluster work?

Updated May 15, 2026

Short answer

DeepCluster alternates between clustering embeddings and training a neural network.

Deep explanation

DeepCluster uses a CNN to extract features, applies KMeans clustering to assign pseudo-labels, and then trains the CNN using those labels. This iterative loop improves feature representations over time without ground truth labels.

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