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Nearest neighbour classifiers : ウィキペディア英語版 | Nearest neighbour classifiers
Nearest neighbour classifiers are a class of non-parametric methods used in statistical classification (or pattern recognition). The method classifies objects based on closest training examples in the feature space. ==Statistical setting== Suppose we have pairs taking values in , where is the class label of , so that for (and probability distributions ). Given some norm on and a point , let be a reordering of the training data such that .
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Nearest neighbour classifiers」の詳細全文を読む
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