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Questionnaire analysis using Fisher Information Non-Parametric Embedding. Explore high-dimensional continuous and discrete questionnaire data sets.
Questionnaire analysis using Fisher Information Non-Parametric Embedding enables users to explore the similarity of respondent groups by leveraging the information distance between the multi-dimensional probability density functions of each group - i.e. the most appropriate distance metric - to provide input for lower dimensional embedding and visualization.
Quafing supports (mixed) continuous and discrete data responses.