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kernel-density-estimation.rar
- 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值,kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensiona
dimension
- 代码用于估计关联维数。包括G-P算法(corrint.m)，高斯核关联算法(gka.m) 和Judd算法(judd.m)-Correlation dimension estimation code. Algorithms for estimating the correlation dimension using the grassberger-Proccacia approach (corrint.m), the Gaussian-Kernel algorithm (gka.m) and Ju
kde2d
- fast and accurate state-of-the-art bivariate kernel density estimator
kdemcode
- Reliable and extremely fast kernel density estimator for one-dimensional data
ksrlin
- 用matlab编写的函数式文件：function r=ksrlin(x,y,h,N).用于进行局部线性拟合，x、y为自、因变量，h为核估计的带宽，N为数据点的个数。-Using matlab functional file: function r = ksrlin (x, y, h, N). Used for local linear fitting, x, y as independent, dependent variable, h is the kernel estimator of ba
density
- machine learning-Density Estimation objects. parzen - Parzen s windows kernel density estimator indep - Density estimator which assumes feature independence bayes - Classifer based on density estimation for each class gauss - Normal distr
Kernel-Recursive-Least-Squares
- 递归核最小二乘算法，来至MIT大学的wingate教授，含6个源码，有实例！-dict_init.m- Part of the dictionary implementation used by KRLS algorithm. Can stand alone. dict.m- Part of the dictionary implementation used by the KRLS algorithm. Can stand alone. krls_init.m- Kernel re
Kernel-Density-Estimator
- 核密度估计的源码，kernel density estimation，从官方渠道获得-Source kernel density estimation, kernel density estimation
kde2d
- 二维高斯核函数重构 重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction fast and accurate state-of-the-art bivariate kernel density estimator with diagonal bandwidth matrix. The kernel is assumed to be Gaussian. The two bandwidth parameter