I made K-means clustering to a large dataset with 32000 features,
Ps : I cant delete outliers because I want to detect them and make a cluster that contains anomalies in my data ...
--> My Question is :
- Is it normal for the ditribution to be like this?
- Is there any other way to analyse kmeans clusters ?
