I heard that Ward's method was the best to use to begin looking at how many clusters there are in a data set. I have around 200 participants and am looking at clustering 12 variables (continuous). The aim is to find out how many clusters I have, if there are any at all?! Ideally, if there are a few, I'd quite like to run a regression to look at whether these clusters can be used to predict QoL. At the moment, I've been stuck for several days on the first step, interpreting the output from the ward's analysis.

I conducted the analysis through a few handouts and youtube videos I found but I can't seem to get the hang of interpreting the results, particularly as the data set is so large and the dendrogram seems to show about 30 clusters. I've got the results of the dendrogram below and I can include the agglomeration schedule if anyone think it might help?

Thank you in advance!