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author | Leonard Kugis <leonard@kug.is> | 2023-01-08 04:13:31 +0100 |
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committer | Leonard Kugis <leonard@kug.is> | 2023-01-08 04:13:31 +0100 |
commit | f1b0c3146287a61f8a6828c013db56c665729006 (patch) | |
tree | e1a61922e343fe50bf7e0835a809641b864e62dc /Presentation | |
parent | 321cdb10d4f741aac59555c0fa6b5dee2f9767d7 (diff) |
Corrected k-means algorithm description
Diffstat (limited to 'Presentation')
-rw-r--r-- | Presentation/presentation.tex | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/Presentation/presentation.tex b/Presentation/presentation.tex index a9db5c1..f4ac0c7 100644 --- a/Presentation/presentation.tex +++ b/Presentation/presentation.tex @@ -230,8 +230,11 @@ backend=biber, \item Perform k-means clustering: \begin{enumerate} \item Initialize $k$ cluster centroids - \item Assign each data to the cluster with nearest centroid - \item Recalculate cluster centroids + \item For all weights: + \begin{enumerate} + \item Assign weight to the cluster with nearest centroid + \item Recalculate cluster centroids + \end{enumerate} \end{enumerate} \end{itemize} \end{frame} |