Ward's method optimizes the minimum variance within clusters using the within groups sum of squares. 300 subjects and 300 variables. Groupings and respondent's membership are produced. Up to a 60 stimuli by 60 stimuli matrix. Accommodates 60 variables for large data sets.
Correspondence analysis finds the best simultaneous representation of the categorical data.
This algorithm double centers the data producing more accurate representations of structure. 50 variables and 32,000 subjects. SPSS mainframe commands support extensive data manipulation capabilities. Up to 50 variables and 32,000 subjects. SPSS mainframe commands support extensive data manipulation capabilities.