Internal investigation at Sawtooth Software suggests that latent class clustering (via Latent Gold) does very well on its own for clustering, but potentially even better as part of a CCEA ensemble (Sawtooth’s cluster ensemble package). We’ll investigate with numerous synthetic datasets whether adding latent class solutions to the CCEA ensemble improves the accuracy of our predictions of the known number of segments and of the membership of those segments.