1) LDA
线性判决分析(LDA)
2) Linear Discriminant Analysis(LDA)
线性判别分析(LDA)
3) LDA
线性判别分析(LDA)
1.
In this work, we developed a new approach by combining a new feature representation involving scores of generalized base properties combined with auto cross covariance (ACC), linear discriminant analysis (LDA) and support vector machines (SVM) to predict chromatographic retention time of DNA, and to identify human miRNAs, vertebrate promoters , human exons.
本文通过一种新的途径,即以广义碱基性质得分(SGBP)结合自交叉协方差(ACC),线性判别分析(LDA)和支持向量机(SVM)建模,进行了DNA色谱保留指数、人类miRNA、脊椎动物启动子和人类蛋白质编码基因预测或识别,采用自检验、交互验证、外部验证等方法验证模型的预测能力。
2.
(3)This paper introduced theory of LDA algorithm and its application to face recognition and acquired a great many experiments.
(3)介绍了线性判别分析(LDA)人脸识别方法并且得到一些有意义的结论;并且对该方法进行了改进。
4) linear discriminant analysis(LDA)
线性鉴别分析(LDA)
5) Linear Fisher Discriminant Analysis(FDA)
线性Fisher判决分析
6) Fisher linear discriminant analysis(FLDA)
Fisher线性判决分析
1.
To solve the small sample size(SSS) problem of Fisher linear discriminant analysis(FLDA) when it is applied to image recognition tasks,a novel image feature extraction technique is proposed which is called two-directional two-dimensional maximum clustering-based scatter difference((2D)2MCSD) discriminant analysis.
针对Fisher线性判决分析(FLDA)在图像识别应用中遇到的小样本问题,提出了两向二维最大子类散度差((2D)2MCSD)鉴别分析的图像特征提取方法。
补充资料：多元线性回归分析
在线性相关条件下，研究两个或两个以上自变量对一个因变量的数量变化关系，称为多元线性回归分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条