Update on Overleaf.

main.tex

@@ -208,15 +208,15 @@ \subsection{Data Preprocessing}
 
 \begin{figure}[ht]
 \centering
-\includegraphics[width=0.75\textwidth]{figures/cluster_scores.png}
+\includegraphics[width=0.65\textwidth]{figures/cluster_scores.png}
 \caption{\label{fig:scores}Silhouette Scores.}
 \end{figure}
 
 The maximum score has happened using two clusters. However, I believe that the market can't be simplified that much. So, I will use the K-means with six centroids to group the variables. In the figure \ref{fig:clusters} we can see how the algorithm classified the data. Also, in the table \ref{tab:cluster_recover}, the centroid was put in their original scales.
 
 \begin{figure}[ht]
 \centering
-\includegraphics[width=0.75\textwidth]{figures/cluster_scatter.png}
+\includegraphics[width=0.65\textwidth]{figures/cluster_scatter.png}
 \caption{\label{fig:clusters}Clusters Found.}
 \end{figure}