| 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. |