While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
This paper presents efficient all-to-all broadcast algorithms for arbitrary irregular networks with switch-based wormhole interconnection and unicast message passing. First, all-t...
Matthew G. Jacunski, P. Sadayappan, Dhabaleswar K....
In this paper we propose an extension of the PLSA model in which an extra latent variable allows the model to cocluster documents and terms simultaneously. We show on three datase...
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...