Exploratory analysis for feature selection in unsupervised clustering

Alexi — Fri, 31 Mar 2017 09:32:07 GMT

How would I identify important variables before doing any cluster analysis, I have a big data base of customer (purchase,loyalty..), 150 feature.

I want to work in two step: 1- Eliminate feature which is unuseful for clustering, e.g. an equivalent of correlation analyse between target and feature in supervised clustering. 2-Eliminate correlated feature, use cluster of variables, PCA. Then i do the classification.

I'm very well in the second step, but i have no idea for the first step, what is the equivalent in unsupervised clustering? which exploratory analysis can help me?

Re: Exploratory analysis for feature selection in unsupervised clustering

Ksharp — Fri, 31 Mar 2017 13:17:51 GMT

Check variable cluster analysis.

proc varclus

Re: Exploratory analysis for feature selection in unsupervised clustering

MelodieRush — Fri, 07 Apr 2017 17:25:49 GMT

You can also use the Variable Cluster Node under Explore

topic Re: Exploratory analysis for feature selection in unsupervised clustering in SAS Data Science

Exploratory analysis for feature selection in unsupervised clustering

Re: Exploratory analysis for feature selection in unsupervised clustering

Re: Exploratory analysis for feature selection in unsupervised clustering