Improving Clustering with Graph Smoothing.

Colley, Charles A.

Abstract:Clustering is a data mining technique which offers insight into datasets based offof similarities of elements to each other. Spectral clustering uses decompositionsof matrix representations of graphs to find appropriate clusters in a data set. Inthis thesis we propose two new methods to improve spectral clustering, SmoothedEmbedding clustering and Graph Smoothed clustering which involve p... read more

This object is in collection:
Undergraduate Honors Theses
Cluster analysis.
Data mining.
Graph theory.
Smoothing (Statistics)
Tufts University. Department of Mathematics.
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ID: tufts:sd.0000468
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