*(Q) How could we cluster about 60 photos (Hierarchical Cluster) once all the photos are sorted into 10 groups based their similarity with each other by 100 participants. For example, about 6 times Photo A was put together with Photo B in the sample data below. How can one use that type of similarity proximity (count) data as input and get the dendogram and cluster membership as OUPUT? *(A) posted to SPSSX-L list on 2001/10/12 by Jelani Mandara. DATA LIST FREE /ROWTYPE_(a8) VARNAME_(a8) a b c d e f g h i j. BEGIN DATA PROX A 0 6 2 7 18 0 1 5 9 14 PROX B 6 0 14 3 8 4 19 14 11 1 PROX C 2 14 0 30 12 4 6 8 19 10 PROX D 7 3 30 0 1 16 3 4 8 11 PROX E 18 8 12 1 0 19 13 14 10 9 PROX F 0 4 4 16 19 0 5 1 14 1 PROX G 1 19 6 3 13 5 0 16 3 1 PROX H 5 14 8 4 14 1 16 0 11 1 PROX I 9 11 19 8 10 14 3 11 0 9 PROX J 14 1 10 11 9 1 1 1 9 0 END DATA. EXECUTE. SAVE OUTFILE='C:\\temp\\photoproximities.sav'. CLUSTER /MATRIX IN ('C:\\temp\\photoproximities.sav') /METHOD BAVERAGE /PRINT CLUSTER(2,8) /PRINT SCHEDULE /PRINT DISTANCE /PLOT DENDROGRAM VICICLE.