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Hierarchical Clustering using Reconfigurable Devices
Napa, California April 24-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2006.4914th Annual IEEE Symposium on Field-P ...
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Shobana Padmanabhan, Washington University in St. Louis
Moshe Looks, Washington University in St. Louis
Dan Legorreta, Washington University in St. Louis
Young Cho, Washington University in St. Louis
John Lockwood, Washington University in St. Louis
Non-hierarchical k-means algorithms have been implemented in hardware, most frequently for image clustering. Here, we focus on hierarchical clustering of text documents based on document similarity. To our knowledge, this is the first work to present a hierarchical clustering algorithm designed for hardware implementation and ours is the first hardware-accelerated implementation.
Citation:
Shobana Padmanabhan, Moshe Looks, Dan Legorreta, Young Cho, John Lockwood, "Hierarchical Clustering using Reconfigurable Devices," fccm, pp.327-328, 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06), 2006
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