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stat.ML2019
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…
stat.ML2018
A linear time method for the detection of point and collective anomalies
Alexander T. M. Fisch, Idris A. Eckley, Paul Fearnhead
The challenge of efficiently identifying anomalies in data sequences is an important statistical problem that now arises in many applications. Whilst there has been substantial wor…