•1 min read•from Data Science
Rfm clustering problem
I work at a furniture/decor entreprise. I try to do rfm with kmeans. but the silhouette is low 0.3.., I removed r and just kept fm. but it all concentrate in f=2, or distinct f. when i keep only f》2 , it concentrate in f=3 and other distinct f also. I tried adding other variables : tenure, interpurchase time, coefficient variation of interpurchase time to get better clustering. What should I do?
I took two periods only 2025, then 2025 and 2024.
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Tagged with
#real-time data collaboration
#real-time collaboration
#rows.com
#financial modeling with spreadsheets
#RFM
#clustering
#kmeans
#silhouette
#furniture
#decor
#tenure
#interpurchase time
#coefficient variation
#clustering variables
#distinct f
#f=2
#f=3
#customer segmentation
#data analysis
#feature selection