I am currently working on a cluster analysis in your CCEA software. On page 53 in your technical document [CCEA v3, June 9 ,2008] you describe the methods behind the alternative starting points. In my project, I run the clustering on individual part-worth profiles (zero-centered diffs; obtained by CBC/HB) and would like to ask whether the notation "points or object points" refers to "respondents"?
For example: "Choose a random sample of objects from the entire set to be clustered [...] If there are k to be chosen, select the first k object points as a temporary set."
What would the objects and object points, respectively, represent when clustering on let's say 500 respondents characterized by 10 part-worths each?
Furthermore, are there any academic papers regarding the three presented approaches (distance-based, density-based, hierarchical-based) besides your CCEA manual that could serve as further references?
Thank you for your input.
All the best