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circlefitting
- 最小二乘法拟合圆vc实现,最小二乘法(least squares analysis)是一种 数学 优化 技术,它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值,而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniq
main
- 基于最小平方误差准则函数的分类器设计编写程序过程中,难点是收敛判别-Based on the least square error criterion function of the classifier design process of the preparation process, the difficulty of convergence discriminant
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
Linear-classifier-design
- 对“data1.m”数据,分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
LMSEPPerceptron-Approach
- 使用C和Matlab编程实现感知器算法和最小平方误差算法,并且区分给定的10000个样本-C and Matlab programming Perceptron algorithm and least square error algorithm, and to distinguish between a given sample 10000
MSE_students
- MSE 学生数据集,最小平方误差分类器-mse students
MSE_Iris
- mse,Iris数据集,最小平方误差判别分类器-mse, Iris data collection, the least square error determination classifier
MSE_fourclass
- mse,fourclass数据集,最小平方误差判别分类器-mse, fourclass data collection, the least square error determination classifie
468709
- 拉氏算法以及最小平方,采用尽量少的除法以减少误差()
hiable
- 拉氏算法以及最小平方,采用尽量少的除法以减少误差()