edit figure caption 1

_episodes_rmd/07-hierarchical.Rmd

@@ -348,7 +348,7 @@ In addition to visualising cluster identity in scatter plots, it is also possibl
 highlight branches in dentrograms. In this example, we calculate a distance matrix between
 samples in the `methyl_mat` dataset. We then draw boxes round clusters obtained with `cutree`.
 
-```{r plot-clust-method, fig.cap="Dendogram with boxes around clusters.", fig.alt="A dendogram for the methyl_mat data with boxes overlain on clusters. There are 5 clusters in total, each delineating a separate cluster."}
+```{r plot-clust-method, fig.cap="Dendogram with boxes around clusters.", fig.alt="A dendogram for the methyl_mat data with boxes overlaid on clusters. There are 5 boxes in total, each indicating separate clusters."}
 ## create a distance matrix using euclidean method
 distmat <- dist(methyl_mat)
 ## hierarchical clustering using complete method