# How to analyze correlation on high dimensional data?

I have a dataset with over 100 features from where I want to know if there is a high correlation between some of those.

I'm doing:

corr = features_final.corr()


What returns me a 100*100 matrix which is hard to analyze manually or in a plot. Which are the methods to handle such a cases?

On the other hand, visualizing a $100 \times 100$ matrix as an image is not too bad. Here is an example of using corrplot.