k-Means vs. Consensus Clustering in CCEA

Hello Sawtooth Community,

I have a question regarding the CCEA tool:

If I want to extract a cluster solution for my dataset, e.g., distance-based k-means with 4 groups, I have two possibilities:

1.) Select k-Means clustering in CCEA and extract solution

2.) Select consensus clustering in CCEA and extract the distance-based k-means with 4 groups from the resulting ensemble-file

However, when comparing both solutions, it becomes apparent that there are differences between them. Why is that and which strategy would you recommend?

Thank you very much for your answer and help

Resolved
1 reply