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author | nunzip <np.scarh@gmail.com> | 2018-12-10 19:53:10 +0000 |
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committer | nunzip <np.scarh@gmail.com> | 2018-12-10 19:53:10 +0000 |
commit | e2b85ff23640ea7bb464ab6c4282ff2a58b058e7 (patch) | |
tree | eb205666fa1e22f87139d33dc1733132514049d6 | |
parent | fbc302610907099d86e8fdf379b821964b0b8362 (diff) | |
download | vz215_np1915-e2b85ff23640ea7bb464ab6c4282ff2a58b058e7.tar.gz vz215_np1915-e2b85ff23640ea7bb464ab6c4282ff2a58b058e7.tar.bz2 vz215_np1915-e2b85ff23640ea7bb464ab6c4282ff2a58b058e7.zip |
Add mahalanobis PSD
-rwxr-xr-x | report2/paper.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/report2/paper.md b/report2/paper.md index 86cf687..cf8221a 100755 --- a/report2/paper.md +++ b/report2/paper.md @@ -143,7 +143,8 @@ the local minimum achieved at 60 clusters (figure \ref{fig:kmeans}). ###EXPLAIN We were not able to achieve significant improvements using mahalanobis for original distance ranking compared to square euclidiaen metrics. Results can be observed using the `-m|--mahalanobis` when running evalution with the -repository complimenting this paper. +repository complimenting this paper. It has been verified that the inverse +covariance matrix used is PSD, satisfying $d_a(x_1,x_2) \geq 0$. # Conclusion |