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| author | Vasil Zlatanov <v@skozl.com> | 2018-12-10 17:19:57 +0000 |
|---|---|---|
| committer | Vasil Zlatanov <v@skozl.com> | 2018-12-10 17:19:57 +0000 |
| commit | c031478576e1e1dbc285e2d7815c6f772ab00a01 (patch) | |
| tree | b97e4ca884c502dabcadbce789e3126a9a9682eb /report2 | |
| parent | 70b329dfaf54a09f913d29b8e602999eb56be169 (diff) | |
| download | vz215_np1915-c031478576e1e1dbc285e2d7815c6f772ab00a01.tar.gz vz215_np1915-c031478576e1e1dbc285e2d7815c6f772ab00a01.tar.bz2 vz215_np1915-c031478576e1e1dbc285e2d7815c6f772ab00a01.zip | |
Improve NN equation
Diffstat (limited to 'report2')
| -rwxr-xr-x | report2/paper.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/report2/paper.md b/report2/paper.md index 0f5c9ae..bd559d7 100755 --- a/report2/paper.md +++ b/report2/paper.md @@ -21,7 +21,7 @@ of its nearest neighbor(s). The distance between images can be calculated throug different distance metrics, however one of the most commonly used is euclidean distance: -$$ NN(x) \operatorname*{argmin}_{i\in[m]} \|x-x_i\|^2 $$ +$$ \textrm{NN}(x) = \operatorname*{argmin}_{i\in[m]} \|x-x_i\|^2 $$ *Square root when calculating euclidean distance is ommited as it does not affect ranking by distance* |