discriminant analysis

Sequential discriminant analysis ( SDA ) is a classical method to select variables.

逐步判别分析是变量筛选的经典方法.

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The discriminant analysis has an important significance for orebody classification.

判别分析对研究未知属性矿体的归属有着重要的意义.

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The results showed the method of discriminant analysis was useful and the discriminant function was valid.

因此,所用的判别分析方法可行,建立的判别函数有效.

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In order to save the expense, also can build a medical model by step discriminant analysis.

为了节省费用, 还可以运用多元统计中的逐步判别分析方法建立模型.

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Successively, stepwise discriminant analysis and artificial neural network were applied and satisfactory results were obtained.

采用人工神经网络法和逐步判别分析法两种模式识别技术,判别结果令人满意.

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Implementation results reveal that the MTS outperforms traditional discriminant analysis methods.

执行的结果发现MTS的分类结果较传统鉴别分析佳.

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The paper expounds the application of Bayes discriminant analysis in safety evaluation.

论述了多元统计分析方法中的贝叶斯判别分析方法在安全评价中的应用.

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Kernel linear discriminant analysis ( KLDA ) is essentially a nonlinear feature extraction criterion.

核线性判别准则 ( KLDA ) 是一种非线性特征提取准则.

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Statistical techniques , including Multi-Regression, Cluster Analysis, and Discriminant Analysis , were employed to test ten null hypotheses.

本研究以世界银行发展报告书的统计为依据,共选定1970年、1975年 、 1980年 、 1985年、1990年、1995年各国高等教育在学率为分析资料.

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Based on uncorrelated discriminant analysis, kernel uncorrelated discriminant analysis is developed.

核不相关鉴别分析是在线性不相关鉴别分析的基础上发展起来的.

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Practical potential of principal component analysis ( PCA ) and linear discriminant analysis ( LDA ), training and inspection.

实用可能的主成分分析 ( PCA ) 和线性判别分析 ( LDA ), 训练和检查.

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Independent Component Analysis ( ICA ) and Linear Discriminant Analysis ( LDA ) are two effective methods of feature extraction.

本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.

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Linear Discriminant Analysis ( LDA ) is one of the classical and popular Methods: Used for feature extraction.

线性 鉴别 分析是特征抽取中最为经典和广泛使用的方法之一.

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