Python Selenium infinite loop

Question

I'm trying to study customers behavior. Basically, I have information on customer's loyalty points activities data (eg how many points they have earned, how many points they have used, how recent they have used/earn points etc). I'm using R to conduct this analysis

I'm just wondering how should I go about segmenting customers based on the above information? I'm trying to apply the RFM concept then use K-means to segment my customers(although I have a few more variables than just R,F,M , as i have recency,frequency and monetary on both points earn and use, as well as other ratios and metrics) . Is this a good way to do this?

Essentially I have two objectives: 1. To segment customers 2. Via segmenting customers, identify customers behavior(egcustomers who spend all of their points before churning), provided that segmentation is the right method for such task?

Clustering <- kmeans(RFM_Values4,centers = 10)

Please enlighten me, need some guidance on the best methods to tackle such problems.

Answer 1

Your attempts is always less then 5 because there is no variable increment. So your loop is infinite