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[DataMining] kernel-kmeans DL : 0: 实现kernel k-means 聚类，可以处理非线性数据-Implement kernel k-means clustering, can handle nonlinear data
Date : 2026-01-10 Size : 24kb User : 樊豆豆
[DataMining] LSSVM DL : 0: 最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化-igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_kernel model=initlssvm(X,Y,type,gam,sig2,kernel) model model=trainlssvm(model) Yt=simlssvm(model,Xt)
Date : 2026-01-10 Size : 986kb User : 翁盗海
[DataMining] steven2358-kmbox-v0.11-0-g425fe66 DL : 0: 核方法工具箱，包括核典型相关分析KCCA，KPLS等算法的源码和实现。-Kernel Methods Toolbox KMBOX includes implementations of algorithms such as kernel principal component analysis (KPCA), kernel canonical correlation analysis (KCCA) and kernel recursive least-squares (KRLS).
Date : 2026-01-10 Size : 50kb User : 刘庆
[DataMining] gplvm DL : 0: 这是一个用于高斯过程隐变量模型的工具箱，其中包含了MATLAB/C/PYTHON三种语言版本-As of July 2005 a C++ implementation of the GPLVM exists which has most of the flexibility of this software but runs much faster. However as of this time it cannot handle very large data sets as the sparsification algorithm (i.e. the IVM) is not implemented. Expected code updates in the near future: different kernels associated with each dimension of the IVM code (update to take place in IVM toolbox). A note on speed issues: This toolbox is designed to be flexible, not fast. Large improvements in running speed can be obtained by removing that flexibility (e.g. by fixing the kernel type and the noise model etc.). Version 2.1 Release Notes - As part of releasing the new FGPLVM toolbox, which uses a different sparsification approach for dealing with large data sets, large portions of the original GPLVM code were moved into two new toolboxes: the datasets toolbox and the mltools toolbox. These toolboxes are now required for running the GPLVM toolbox. Version
Date : 2026-01-10 Size : 1.31mb User : 李
[DataMining] NaiveBayesClassifier.m DL : 0: I use Matlab 2008a which does not support Naive Bayes Classifier. Script supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the script. Also includes function for confusionmat
Date : 2026-01-10 Size : 1kb User : lin
[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 : 2026-01-10 Size : 4kb User : zty
[DataMining] kernelpca_tutorial DL : 0: 基于R语言的kernel矩阵生成代码，已包含高斯核，可以修改核函数-R language based on the kernel matrix generation code, has included the Gauss kernel, you can modify the kernel function
Date : 2026-01-10 Size : 4kb User : riffle
[DataMining] svr-kernel-function-version DL : 0: 用matlab实现了支持向量回归，并且使用了核函数，对于各种维度的数据均可使用-Using matlab to achieve an SVR, and uses kernel functions for the various dimensions of the data can be used
Date : 2026-01-10 Size : 2kb User : hengzhang
[DataMining] K-LDA DL : 0: KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
Date : 2026-01-10 Size : 4kb User : 赵礼
[DataMining] waveletkernel DL : 0: 这是一个小波核函数工具包，可根据需要的核函数公式构建自己所需的核，可用于核学习方法。-The wavelet kernel function is a toolkit, can according to need to build your kernel function formula for nuclear, and can be used to study method.
Date : 2026-01-10 Size : 3kb User : zhuozeying
[DataMining] java网络爬虫 DL : 0: 是一个无须配置、便于二次开发的JAVA爬虫框架（内核），它提供精简的的API，只需少量代码即可实现一个功能强大的爬虫(Is a JAVA reptile framework (kernel) that does not need to be configured for easy development. It provides a streamlined API that requires a small amount of code to implement a powerful crawler)
Date : 2026-01-10 Size : 13.92mb User : 孤独的老张
[DataMining] FNN与PCA和KPCA结合 DL : 0: 一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
Date : 2026-01-10 Size : 10kb User : 宸儿宝贝