deletions | additions       diff --git a/Experimental Results.tex b/Experimental Results.tex  index 9e02559..f945c4d 100644  --- a/Experimental Results.tex  +++ b/Experimental Results.tex 
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Kmeans gives the best clustering, with 5 clusters providing a good balance between size and distribution. One group, cluster 1, consistently stands out, alone. This site is the only on of the sample that contains a slip lane, which allows right-turning vehicles to avoid the roundabout merging zone entirely. This cluster is therefore rejected  \begin{verbatim}  ---------------------------------------------------------------------- \begin{table}  \begin{tabular}{@{}llllll@{}}  \hline  kmeans | &  Freq. (4)| (4) &  Freq. (5)| Freq.(6)| Freq.(7)| (5) & Freq.(6) & Freq.(7) &  Freq.(8) ----------+-----------+-----------+-----------+-----------+----------- \\  \hline  1 | 1| 1| 1| 1| &  1 & 1 & 1 & 1 & 1 \\  2 | 3| 3| 3| 3| & 3 & 3 & 3 & 3 &  2 \\  3 | 6| 22| 17| 12| & 6 & 22 & 17 & 12 &  3 \\  4 | 31| 10| 10| 4| & 31 & 10 & 10 & 4 &  4 \\  5 & - & 5 &  5 | -| 5| 5| 5| &  5 & 5 \\  6 | -| -| 5| 4| & - & - & 5 &  4 & 4 \\  7 | -| -| -| 12| & - & - & - & 12 &  12 \\  8 | -| -| -| -| & - & - & - & - &  10 ----------------------------------------------------------------------  \end{verbatim} \end{tabular}  \end{table}  \begin{verbatim}