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2006
IEEE

Unsupervised Clustering In Streaming Data

9 years 3 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of conventional kernel density clustering to a spatio-temporal setting, and also develop a novel algorithmic scheme for clustering data streams. Experimental results demonstrate both the high efficiency and other benefits of this new approach.
Dimitris K. Tasoulis, Niall M. Adams, David J. Han
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICDM
Authors Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
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