clustering cases goal is to cluster cases into groups based on shared characteristics start out with each case being a one case cluster the clusters are located in k dimensional ...
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...Clustering cases goal is to cluster into groups based on shared characteristics start out with each case being a one the clusters are located in k dimensional space where number of variables compute squared euclidian distance between and other v x y i sum across from difference score variable for yi agglomerate two closest agglomerated distances entities recomputed this continues until all end up what correct solution you may have theoretical reasons expect certain look at that see if it matches your expectations alternatively try make sense solutions or more levels analysis faculty salaries subjects were psychology ecu rank experience publications course load salary data clusteranonfaculty sav also statistical output...