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Methods in data clustering

Parker, Charley
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Coffey, Mark
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2011-08
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REMRSEC
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2011 NSF Research Experiences for Undergraduates posters and presentations
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Methods in data clustering
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https://hdl.handle.net/11124/404
 http://dx.doi.org/10.25676/11124/404
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Abstract
Data clustering methods explored included: K-means algorithm, which minimizes the distances from all data points to the centroid of each point's associated cluster; power iteration, which approximates eigenvectors of a similarity matrix used to embed the data into a space where K-means can be useful; and wordplay for clustering a set of documents and using a word count to construct a similarity matrix.
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