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Changed comment. 

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Davis King 2010-05-13 01:57:29 +00:00
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examples/empirical_kernel_map_ex.cpp
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@ -53,8 +53,7 @@
subspaces that are relatively low dimensional. So for these datasets, using the
empirical_kernel_map is practical assuming an appropriate set of basis samples can be
selected by the user. To help with this dlib supplies the linearly_independent_subset_finder.
Some people also find that just picking a random subset of their data and using that
as a basis set is fine as well.
I also often find that just picking a random subset of the data as a basis works well.