SIMD Algorithms for Single Link and Complete Link Pattern Clustering
Clustering techniques play an important role in exploratory pattern analysis, unsupervised pattern recognition and image segmentation applications. Clustering algorithms are computationally intensive in nature. This thesis proposes new parallel algorithms for Single Link and Complete Link hierarchic...
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| Format: | Others |
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Scholar Commons
2007
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| Online Access: | https://scholarcommons.usf.edu/etd/609 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1608&context=etd |