A Nonparametric Multiclass Pattern Classifier
A Nonparametric Multiclass Pattern Classifier
复制标题
非参数多类模式分类器
DOI：
10.1109/tsmc.1979.4310223
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发表时间：
1979
期刊：
影响因子：
--
通讯作者：
M. Ichino
中科院分区：
文献类型：
--
作者：
M. Ichino
提出了一种非参数多类分类器。每个模式类都由测量空间中的超矩形来描述。这些超矩形由基本事件生成（BEG）算法生成，该算法实现了集合理论训练集约简。新模式的分类是通过检查哪些基本事件包含模式来执行的。实验结果表明，该分类器是有效的。
A nonparametric multiclass classifier is presented. Each pattern class is described by hyperrectangles in the measurement space. These hyperrectangles are generated by the basic event generation (BEG) algorithm which realizes set theoretical training set reduction. The classification of new patterns is performed by examining which basic event includes the patterns. The experimental results indicate that the classifier is effective.