Abstract: A fast and efficient technique for hierarchical clustering of samples in
a dataset includes compressing the dataset to reduce a number of
variables within each of the samples of the dataset. A nearest neighbor
matrix is generated to identify nearest neighbor pairs between the
samples based on differences between the variables of the samples. The
samples are arranged into a hierarchy that groups the samples based on
the nearest neighbor matrix. The hierarchy is rendered to a display to
graphically illustrate similarities or differences between the samples. |
Filed: 12/14/2009 |
Application Number: 12/636898 |
This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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