When using cluster analysis on a data set to group similar cases, one needs to choose among a large number of clustering methods and measures of distance. Sometimes, one choice might influence the other, but there are many possible combinations of methods.
Does anyone have any recommendations on how to choose among the various clustering algorithms /methods methods and distance measures? How is this related to the nature of the variables (e.g., categorical or numerical) and the clustering problem? Is there arean optimal technique?