Meet DeepDPM: No Predefined Number of Clusters Needed for Deep Clustering Tasks | Synced Deep neural networks (DNNs) have achieved great success across a wide variety of tasks, including fundamental unsupervised tasks such as data clustering. Like conventional clustering methods, deep clustering is also parametric, meaning it requires a predefined cluster or class number. Choosing the optimal cluster number can however become very computationally expensive due to the relative syncedreview.com |
Meet DeepDPM: No Predefined Number of Clusters Needed for Deep Clustering Tasks
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