  Clustering Text has been an important problem in the domain of Natural
Language Processing. While there are techniques to cluster text based on using
conventional clustering techniques on top of contextual or non-contextual
vector space representations, it still remains a prevalent area of research
possible to various improvements in performance and implementation of these
techniques. This paper discusses a novel technique to cluster text using
attention mechanisms. Attention Mechanisms have proven to be highly effective
in various NLP tasks in recent times. This paper extends the idea of attention
mechanism in clustering space and sheds some light on a whole new area of
research
