Summary: Multi-clustering: avoiding the natural shape of
underlying metrics.
Dan Ashlock
Department of Mathematics
and Statistics
University of Guelph,
Guelph, Ontario, N1G 2R4
dashlock@uoguelph.ca
Eun-Youn Kim
Mathematics Department
Iowa State University,
Ames, Iowa 50011
eunykim@iastate.edu
Ling Guo
Bioinformatics Program
Iowa State University,
Ames, Iowa, 50011
lguo@iastate.edu
ABSTRACT
When using a clustering algorithm, the results are

Source: Ashlock, Dan - Department of Mathematics and Statistics, University of Guelph

Collections: Mathematics