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Identification-of-fundus-lesions
- 眼底病变的识别,使用对比度增强的方法。分类器使用了：最小距离分类器、Fisher线性分类器、二次分类器等。-Identification of fundus lesions, using the method of contrast enhancement. The classifier used: minimum distance classifier, Fisher classifier, the two classifier.
LDA_algorithm
- Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of
Fisher-SAR
- SAR反转指标会形成一定支撑和阻力，突破阻力则进入另一种趋势，在传统SAR基础上增加了特别的算法-SAR inversion indicators will form a certain support and resistance, the breakthrough resistance is to enter another trend, based on the traditional SAR added a special algorithm
Fisher
- Fisher判别法是历史上最早提出的判别方法之一，其基本思想是将n类m维数据集尽可能地投影到一个方向（一条直线），使得类与类之间尽可能分开。-This package include the training, testing and a demo of Fisher LDA. The testing code also uates precision, recall, accuracy and F1-measure.
LinRegr
- do multiple linear regression on fisher s iris as laboratory work. do multiple linear regression on fisher s iris as laboratory work.-do multiple linear regression on fisher s iris as laboratory work. do multiple linear regression on fishe
Fischer_Correct
- Non repainting and fixed version for the Fisher Indicator