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Added: Wednesday, February 04, 2009 by Luca Cazzanti - APL-UW
        Tags: non-metric, Symmetric, Tversky
   Description This data set is derived from its namesake from from the UCI Machine Learning Repository. Data with missing features were removed. The binary features from these samples were used to compute the symmetric Tversky linear contrast similarity using set cardinality as the saliency function. Similarity values are negative and positive integers. For this similarity it's possible that s(a,a) ~= s(b,b).
   Details 2 Classes, 2359 Instances, Dense, Symmetric
   Download ZIP Archive [18660 kb]
   Comments No Comments.



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