搜索资源列表
pls
- 可以用于计算排列熵，很实用，欢迎大家交流-Arrangement can be used to calculate the entropy, it is practical, we welcome the exchange of
PLS1021delet-new
- pls算法主要用于多数据时函数回归拟合预测-pls for regress
PLS
- 该matlab程序可以用于利用偏最小二乘法建立近红外校正模型。-The matlab program can be used to create near-infrared calibration models use partial least squares.
pls.m.tar
- Partial Least Square for classification
psk16
- PSK 16....PLS TAKE NOTE, IT TAKES TIME TO GENERATE PLOTS
PLS-2.0-matlab
- 惩罚最小二乘法扣除基线背景，需要微调参数-Deduct the baseline punishment least-square method
pls1_crossval_serag
- cross validation leave one out for calculating pls rmsecv
PLS
- 偏最小二乘回归的通用程序，自己设置参数后即可运行。-The general procedure of partial least squares regression, can set their own parameters after operation.
supp2
- Kernel Orthogonal PLS package
supp3
- Kernel Orthogonal PLS Supp3
supp4
- Kernel Orthogonal PLS using Matlab
Data-processing--with-the-NIR-data
- 这种数据处理方法有五个步骤,其中包括计算平均光谱,光谱预处理、样品部门,请模型构建和变量seelction CARS-PLS模型构建 -This data processing approaches have five steps,including calculating mean spectra,spectral preprocessing, sample division, PLS model building and variable seelction by CARS-PLS mo
pls
- 用NIPALS算法实现的偏最小二乘法,包含测试文件，算法原理说明-With NIPALS algorithm of partial least squares
DPLS_static_abnormal_prediction
- 动态PLS算法的matalb实现，是非常好的初学者入门资料-Matalb dynamic PLS algorithm implementation is very good information for beginners
kenstone
- 用于划分训练集及预测集样本数，可用于偏最小二乘，支持向量机等训练集预测集的划分-ks pls svm
plscv
- 偏最小二乘法的交叉验证程序，可选择几折交叉验证，非常好用-pls plsc
Plsgui
- PLS-GUI。非常经典的PLS软件。完全图形化。-PLS-GUI， written for MATLAB
Contrast_Task_PLSC
- 最小协方差（pls）算法中的多个任务间比较的脚本，脚本由John F. Magnotti n, Nedret Billor提供-plsc，contrast between tasks
Behavior_PLSC
- 用plsc算法算脑激活与行为指标的相关，参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，-Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，
Seed_PLSC
- PLS的种子点方法脚本，参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，-seed PLS Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，