搜索资源列表
Spider4dataanlysis
- ?Spider-matlab工具箱，为一良好的数据分析工具箱，内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等；支持向量机(SVC)分类；聚类分析等．-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c
kpls
- 一个简单的pls程序吧，大家伙儿帮忙用用看看。
KPLS代码
- 核偏最小二乘在电力负荷预测中的应用,包括详细的数据和算法说明
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
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- pls和kpls对于cstrhe csth的故障诊断和识别的判定，有很重要的辅助作用-PLS and KPLS for cstrhe CSTH fault diagnosis and identification of the judge, have very important auxiliary function
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- pls，pca和kpls，kpca的比较分析，杜宇故障识别和诊断有很好的效果-PLS, pca and KPLS, kpca comparative analysis on fault recognition and diagnosis duyu has very good effect
F-KPLS
- matlab codes for kernel SVM
sskpls_toolbox
- 基于半监督KPLS的概率聚类核，是用matlab编写的一个工具箱，可参考论文：Semisupervised nonlinear feature extraction for image classification和Semisupervised kernel orthonormalized partial least squares-Semisupervised KPLS with Probabilistic Cluster Kernel [SS-KPLS]
simfeat
- 一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码-a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source
simfeat
- 简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等-simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA
steven2358-kmbox-v0.11-0-g425fe66
- 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).
KPLS
- KPLS, matlab code. Matlab implementation.
kernelPLS-master
- KPLS代码，代码流畅，运行结果好，可以直接套用在别的地方(KPLS code, smooth code, good results, can be directly applied in other places)