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- W2108593524 abstract "A popular method for unsupervised classification of high-dimensional data via decision trees is characterized as minimizing the empirical estimate of a concave information functional. It is shown that minimization of such functionals under the true distributions leads to perfect classification." @default.
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- W2108593524 date "2008-06-01" @default.
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- W2108593524 title "On the minimization of concave information functionals for unsupervised classification via decision trees" @default.
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- W2108593524 doi "https://doi.org/10.1016/j.spl.2007.09.058" @default.
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