C3: Cross-instance guided Contrastive Clustering

Understand

Clustering is the task of gathering similar data samples into clusters without using any predefined labels.

• It has been widely studied in machine learning literature, and recent advancements in deep learning have revived interest in this field.
• Contrastive clustering (CC) models are a staple of deep clustering in which positive and negative pairs of each data instance are generated through data augmentation.
• CC models aim to learn a feature space where instance-level and cluster-level representations of positive pairs are grouped together.