在两类分类的基础上介绍了一种基于SVM的多类分类算法———一对一分类法，并将其用于中国茶叶的分类。
This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.
中国茶叶的主要品种分类为绿茶，红茶（红茶），乌龙茶，白茶，黄茶和再加工茶。
The main varieties of Chinese tea are classified as green tea, red tea (black tea), Wulong tea, white tea, yellow tea, and reprocessed tea.
结合组合式电脑茶叶拣梗机的模式分类问题，讨论了模式分类器智能化及实现策略。
The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.
茶叶行家对茶叶分类要看茶形、茶水颜色、茶香、茶味、茶水中茶叶的外观。
Tea connoisseurs classify the tea by the shape of the leaf, the color of the liquid, and the aroma, taste and appearance of the infused leaf.
认为以茶多酚的氧化程度作为中国茶叶分类的依据比较合理。
The classification basis of China tea is more rational by using the oxidation degree of the polyphenol.
结果表明，基于提取的茶叶近红外光谱数据，利用偏最小二乘法（PLS）的甄别效果优于标准法，可以直观地将59个来自不同产地、品种和加工工艺的茶叶样品进行准确的分类判定。
The results showed that the model of PLS was better than that of standard algorithm. Depending on the collected NIR data of 59 tea samples with different regions, assortment and manufact…
结果表明，基于提取的茶叶近红外光谱数据，利用偏最小二乘法（PLS）的甄别效果优于标准法，可以直观地将59个来自不同产地、品种和加工工艺的茶叶样品进行准确的分类判定。
The results showed that the model of PLS was better than that of standard algorithm. Depending on the collected NIR data of 59 tea samples with different regions, assortment and manufact…
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