Large scale tests - example 1
The data for these figures was generated in the following way. We generated
100 data points for each of the 1000 leaves in this data set. Most of these
100 points where generated at random, however (as can be seen) for each leaf
we chose 30 points which where set to -1 (in different places in different
leaves). We then computed
the correlation coefficients between all the leaves and performed hierarchical
clustering. Next we ordered the resulting tree using our optimal ordering
algorithm.
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| Hierarchical clustering
| Optimal ordering
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