ECOC

Supervised classification based on error-correcting output codes ( ECOC) is a new research direction to improve the generalization of classifiers, yet there is no general method to construct ECOC for any number of classes.

纠错输出码作为监督分类领域中的一个新的研究方向，是提高分类器泛化能力的一种有效方法，但目前还没有通用的确定性编码方法。

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A novel classification algorithm based on hierarchical ECOC was proposed.

为此，提出一种新颖的层次纠错输出编码算法。

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In testing phase, the proposed method makes the most of the merits of KNNModel and ECOC through models combination.

在测试阶段，该算法通过模型融合进一步发挥KNN模型和纠错输出编码各自的优点。

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