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- We used discriminate analysis for the remaining results. 我们运用辨别分析法分析其余的结果。
- Data obtained have been analyzed by multivariate statistical analysis methods including tactor and discriminate analysis. 所获数据以多变量统计分析技术的主成分分析法作了统计运行。
- A new method of combination of Canonical Correlation Analysis(CCA) and Maximum Scatter Difference Discriminate Analysis(MSDDA) is developed in this paper. 摘要 提出了一种融合典型相关分析与最大散度差鉴别分析的特征抽取新方法。
- Using the discriminate analysis, a five parameters protocol (MPT, jitter, NNE, HNR and shimmer) was developed and it showed that this protocol allowed 79.8% concordance with jury classification. 应用逐步判别分析方法 ;建立了 5个参数 (MPT、jitter、NNE、HNR和shimmer)的嗓音客观评估模型。 客观评估结果与主观评估结果的一致性达到 79.;8%25。
- In contrast, discriminate analysis (DA) can differentiate the three varieties with an average fitness of 86.8%, being 100%, 80% and 70%, respectively, for Chasan, Cabernet?Sauvignon and Carbeernet Gernischet. 多元判别分析得3品种的平均拟合率为86.;8%25,鉴别程度依次为夏桑(100%25)、赤霞珠(80%25)、蛇龙珠(70%25)。
- Maximum Scatter Difference Discriminate Analysis 最大散度差鉴别分析
- Fisher linear discriminate analysis Fisher线性判别分析
- two-dimensional linear discriminate analysis 二维线性可分性分析
- generalized discriminate analysis 广义判别分析
- significance discriminate analysis 显著性差异分析法
- A discriminant analysis was performed to analyze each parameter and to compute a functional score. 应用判别式分析法对每一个参数进行处理并且计算出一个功能评分。
- Stepwise discriminant analysis was performed to obtain risk factors of CAA based on clinical and early laboratory data. 我们先以单变数统计方法来检验十六个临床和实验变数,发现在两群中只有白血球和C-反应蛋白质具有统计上之显著差异。
- Linear Discriminant Analysis (LDA) is one of the most popular linear classification techniques for feature extraction. 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。
- Objective To analyse the TCM syndrome of chronic fatigue syndrome (CFS) patients by discriminative analysis. 目的应用判别分析方法,对慢性疲劳综合征(CFS)的中医辨证分型进行研究。
- Chi-square test, one-way MANOVA, and discriminant analysis were used to analyze the data. 使用的统计方法包括:因素分析、卡方检定、多变量变异数分析及区辨分析。
- 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。
- The discriminant analysis and univariate analysis also revealed the similar results. 判别分析和单变量分析的结果亦与上述结论相符;
- Can you discriminate good books from bad? 你能区别好书与坏书吗?
- Death does not discriminate; it comes to everyone. 死亡对每个人都一视同仁,它会降临到每个人的身上。
- This paper presents a feature selection method based on genetic algorithm GA) and linear discriminant analysis LDA). 摘要本文提出了一种基于遗传算法的基因微阵列数据特征提取方法。