I have a dataframe with over 280 features. I ran correlation map to detect groups of features that are highly correlated: Now, I want to divide the features to
smartthings
flutter-text
bandpass-filter
self-starting
openair
instantclient
eclipse-memory-analyzer
custom-post-type
gnat
lync
android-handler
ggmosaic
rowdatabound
armcc
count-unique
anaconda3
bolt
aws-transcribe
package-manager-console
sikuli-x
play-billing-library
cmakelists-options
mxparser
neat
aws-ecs
oidc-client
oracle12.2
g1gc
css-transforms
iiscrypto