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author | mutantturkey <mutantturke@gmail.com> | 2012-10-24 10:07:44 -0400 |
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committer | mutantturkey <mutantturke@gmail.com> | 2012-10-24 10:07:44 -0400 |
commit | dd3b350d2eb06012f3d5ee08e2f4060536b57621 (patch) | |
tree | df13cd24adc10c06bc3618a891776b032fd7cae7 /README.markdown | |
parent | e2cd8c01425c08e07d4ad6c6ed0a8535c46a9ae5 (diff) |
update README to include preliminary information about k-means clustering
Diffstat (limited to 'README.markdown')
-rw-r--r-- | README.markdown | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/README.markdown b/README.markdown index fcb8026..9a95eba 100644 --- a/README.markdown +++ b/README.markdown @@ -150,5 +150,11 @@ pngs to make sure that the fly tracking was performed correctly. ### Into the Beyond ### Now that we've done the hard work of image processing the rest is up to you! The -data is all there, now you need to do manually generate the feature vectors. +data is all there, now you need to do manually generate the feature vectors, and +you need to run our simple k-means clustering. + +The K-Means clustering requires Java to run and our Least Squares Solution CCI +calculator was written in Matlab and requires it to run. + + |