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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
ISBN: 0-7695-2702-7
pp: 89-93
Gunjan Gupta , University of Texas at Austin
Alexander Liu , University of Texas at Austin
Joydeep Ghosh , University of Texas at Austin
ABSTRACT
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hierarchical Density Shaving (HDS), a framework that consists of a fast, hierarchical, density-based clustering algorithm. Our framework also provides a simple yet powerful 2-D visualization of the hierarchy of clusters that can be very useful for further exploration. We present results to show the effectiveness of our methods.
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CITATION

J. Ghosh, G. Gupta and A. Liu, "Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets," Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)(ICDMW), Hong Kong, China, 2006, pp. 89-93.
doi:10.1109/ICDMW.2006.92
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