Subspace Clustering of Very Sparse High-Dimensional Data

Hankui Peng, Nicos Pavlidis, Idris Eckley +1

In this paper we consider the problem of clustering collections of very short texts using subspace clustering. This problem arises in many applications such as product categorisati…