I am clustering on a dataset where each row is a customer and each column is a feature. I have 200 features, this seems like alot for clustering. I plan to experiment with a variety of clustering models e.g. k-means since all my data is numerical. H
How can i reduce/select the features ?
I am only familiar with SelectKbest, etc as these are used for predictive modelling. But here i have NO target variable. Note i plan to use python.