New Deep Learning Method Improves Image Clustering With Density-Based Training

Researchers propose IDCL, a deep image clustering method that incorporates curriculum learning and density information to improve robustness and convergence. The approach uses density cores rather than individual cluster centers for assignment, outperforming existing methods on benchmark datasets across varying data scales and cluster numbers.