Like we did with the regression and classification model in the previous articles, we should next select the Classify TAB.
与我们在之前文章的回归和分类模型中所做的类似，我们接下来应该选择Classify选项卡。
A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
提出了一种基于分类技术的支持向量回归方法，解决数据分布未知、数学模型未知的非线性回归问题。
This article has also put forward the key procedure and method how to set up high-precision and high-efficiency classification model, regression model and clustering model with the system.
本文还重点提出了利用该系统建立精度好、效率高的分类、回归及聚类模型关键流程及方法。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
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