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PLSUVECV
- PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informativ
myuve
- 使用uve算法进行特征波段提取，并建立预测模型-Bands with uve algorithm to extract features and build predictive models
uve_pls
- 对一维光谱实现偏最小二乘回归进行UVE变量选择-UVE variable selection on the spectrum
plot-cars-lda-mcs
- 五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepl
wuxinxibianliangxiaochufa
- UVE是基于PLS回归系数建立的一种波长选择方法，这种方法的基本思想是将回归系数作为波长重要性的衡量指标。该方法将一定变量数目的随机变量矩阵加入到光谱矩阵中，然后通过蒙特卡洛交互验证或者传统的交互验证建立PLS模型，通过计算PLS回归系数平均值与标准偏差的比值，选取有效光谱信息。-UVE was established based on PLS regression coefficient of a wavelength selecti
PLSUVE
- 基于偏最小二乘回归的matlab中无信息变量消除算法的特征选择(Feature Selection of No Information Variable Elimination Algorithm in Matlab Based on Partial Least Squares Regression)
UVE_PLS
- this is the pls method used uve.
uve
- uve算法提取光谱特征波长，matlab例程，结合了pls(Uve algorithm to extract spectral characteristic wavelength, matlab routine, combined with PLS)
无信息变量消除法提取特征
- UVE提取特征，数据为高光谱数据，感兴趣区域数据，最后一列为标签(Uve extracts features, hyperspectral data, region of interest data, and the last column is label)