Sorry to bother you again.
I followed advice on segmentation combining categorical and scale variables that has been suggested here several times: First dummy-code categorical variables and run CCEA Ensemble on these alone. Save the ensemble set. Do the same on scale variables and save the second ensemble set. Then combine 2 ensemble sets manually and run a new ensemble analysis on a custom combined ensemble file.
Got consensus solutions. Checked Silhouette numbers for highest reproductability solutions. Most segments have negative Silhouette numbers. Hit rate from MDA are also low. Individual solutions were better. I wonder if consensus solution results should be used (not their individual ensemble files) as input for a combined ensemble file .
Please give any clue why this ensemble combo run is much much worse than 2 separate inputs. Something might be wrong with the algorithm if it produces negative Silhouette. It might be zero but never seen it being negative
Please help