Deep Clustering with Self-Supervision using Pairwise Similarities: A Novel Unsupervised Clustering Framework

The proposed DCSS method employs an autoencoder and a fully connected network to create a K-dimensional space that can accommodate complex cluster distributions by strengthening the similarities between pairs of similar samples and dissimilarities between pairs of dissimilar samples.