• The 1-Nearest-Neighbor Rule (1-NN) is the simplest and most natural classification rule.

    最邻近法则1-NN最简单最为自然分类法则。

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  • The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.

    近邻准则是一种次最优准则样本数目很大时,最近邻准则错误率不会超过叶斯错误概率2

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  • A method to predict the subcellular location of proteins is proposed based on the LZ complexity similarity of symbolic sequences and K nearest neighbor rule.

    提出了一个基于符号序列LZ复杂性相似K近邻规则蛋白质亚细胞位点类型预测方法

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  • Usually, they are limited to assigning objects to the class model that fits best, e. g. by the nearest neighbor rule.

    通常这个分类模型可以达到最好分类(例如采用邻近法则)的对象不多。

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  • Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.

    方法K—近邻判决规则结合,提出了用于判别的固定域判决算法。

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  • Classification criteria for the nearest neighbor rule.

    分类准则近邻规则。

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  • Classification criteria for the nearest neighbor rule.

    分类准则近邻规则。

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