This paper proposes to perform online clustering by conducting twin contrastive learning (TCL) at the instance and cluster level. Specifically, we find that when data is projected into a feature space with dimensionality of target number, rows columns its matrix correspond representation, respectively. Based on observation, for given dataset, proposed TCL first constructs positive negative pair...