Search - kernel density estimator

Search - kernel density estimator - List

[Special Effects] kde2d DL : 0: fast and accurate state-of-the-art bivariate kernel density estimator
Date : 2025-07-09 Size : 4kb User : yyz
[matlab] kdemcode DL : 0: Reliable and extremely fast kernel density estimator for one-dimensional data
Date : 2025-07-09 Size : 2kb User : samy
[matlab] density DL : 0: 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 distribution density estimator-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 distribution density estimator
Date : 2025-07-09 Size : 14kb User : hossein
[VC/MFC] 123 DL : 0: 横轴和纵轴，可以将样本点表示出来。由于一般第一、二和三主成分包含的样本的信息较多，经常选其作为横轴和纵轴。当两个样本差异不大时，他们对应的主成分的得分值差异也不会大，所以可以凭此对样本进行分类。-The quality of the sample depends on the accuracy of the density estimator chosen, and it needs to decide the kinds of kernel function and the value of its bandwidth and $\alpha$. Besides there are some drawback about the relation between the value $\alpha$ and the ratio of cluster and outlier. In the future, the extension of its techniques to data sets of very high dimensionality is possible by taking into account several properties of high-dimensional spaces.
Date : 2025-07-09 Size : 602kb User : 宋云胜
[Windows Develop] Kernel-Density-Estimator DL : 0: 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
Date : 2025-07-09 Size : 3kb User : zz
[DataMining] kde2d DL : 0: 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 parameters are chosen optimally without ever using/assuming a parametric model for the data or any rules of thumb . Unlike many other procedures, this one is immune to accuracy failures in the estimation of multimodal densities with widely separated modes
Date : 2025-07-09 Size : 4kb User : zty