搜索资源列表
SVM_regression_1001
- 一种可以择优选择参数的SVM拟合回归程序,通过for循环,可以调节参数,调出误差最小的参数设置。有时候,默认的参数也会有很不错的精度。-One can choose the best parameters of the SVM fitting regression procedures, through the for cycle, you can adjust the parameters, minimize the error of the parameter settings. Somet
mixBern
- Just like EM of Gaussian Mixture Model, this is the EM algorithm for fitting Bernoulli Mixture Model. GMM is useful for clustering real value data. However, for binary data (such as bag of word feature) Bernoulli Mixture is more suitable.
logRegres
- Logistic回归主要目的是寻找一个非线性sigmoid的最佳拟合参数,采用梯度上升算法可以达到局部的最优化-The main purpose of Logistic regression is to find the best fitting parameters of a nonlinear sigmoid, and the gradient ascent algorithm can be used to achieve the local optimization.
best-fit-demo
- 一个好的拟合算法,可能拟合直线、园、椭圆函数-Best-fitting line, circle and ellipse
