treeKL: A distance between high dimension empirical distributions
نویسندگان
چکیده
منابع مشابه
treeKL: A distance between high dimension empirical distributions
This paper offers a methodological contribution for computing the distance between two empirical distributions in an Euclidean space of very large dimension. We propose to use decision trees instead of relying on standard quantifi10 cation of the feature space. Our contribution is two-fold: We first define a new distance between empirical distributions, based on the Kullback-Leibler (KL) diverg...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2013
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2012.08.019