this is for holding javascript data
Lucas Fidon edited section_Conclusion_begin_itemize_item__.tex
almost 8 years ago
Commit id: be5f0121ee6cd449406371c07b122d671ce85b20
deletions | additions
diff --git a/section_Conclusion_begin_itemize_item__.tex b/section_Conclusion_begin_itemize_item__.tex
index a26aedb..75122f1 100644
--- a/section_Conclusion_begin_itemize_item__.tex
+++ b/section_Conclusion_begin_itemize_item__.tex
...
\item find a way to measure how well are our cluster
\end{itemize}
The statements about the results remain too subjective, it lacks an objective measure of the quality of the clusters.
I tried to use silhouette index, which is a common way to measure the quality of a clusters' set \cite{parisot:tel-00978520}. The silhouette index belong to $[-1,1]$: it is near to $1$ if the cluster are perfectly separated to each other and near to $-1$ in the opposite case. However I always get values near to $0$ when I compute it to my results, which does not give much information since it is a very general index, and thus there is no telling whether it suits to our problem or not.
A further step would consist in developing such an index designed for this problem and to compare the results with other cluster sets generated with state-of-the-art metrics (as LCSS or DTW for example).