I am working on a Multivariate Analysis on my dataset, I have a large dataset of 50k users let's call it (Loyal Users) with various numerical attributes +13 tracking the user's activity and events within a timeframe.I want to come up with Set of rules to define this group of users so that i can come up with a common pattern.This is an example of the data that i am working onusername        Like     Share           Select     Send  Verify  RegisterAlex            524      329             203        787    1       1Kristina        197      186             286        120    0       1Here is an example of rules that i want to make : If Share > 23 and Verify =1 and Like >120  then Loyal Userwould that be possible after doing a principal components analysis (PCA) and linear discriminant analysis (LDA) ? And how can i do that ? Any ideas would be great.
Generating a set of Rules that defines a Group of users ( Multivariate Analysis )
machine learning;r;data mining;predictive modeling