3260 papers • 126 benchmarks • 313 datasets
Clustering using deep learning models, when the number of clusters is unknown and needs to be inferred.
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This work introduces an effective deep-clustering method that does not require knowing the value of $K$ as it infers it during the learning, and is the first to report the performance of such a method on ImageNet.
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