搜索资源列表
matlab人脸数据
- MATLAB降维工具箱
LDA-Reconginatin Matlab LDA降维经典程序
- Matlab LDA降维经典程序 外国人Jonathan Huang写的LDA matlab程序,用于多维特征的降维 -Matlab LDA dimension reduction procedures foreigners Jonathan Huang classic written LDA matlab program for multi-dimensional characteristics of the dimension reduction
KPCA.rar
- 一个很好的PCA程序。它可用于数据的降维,消噪及特征提取。,A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.
PCA_LDA.rar
- 《机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
dimreduce
- 普通降维方法汇总,PCA,LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
lda
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
pca
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
jiangwei2
- 降维状态观测器是非常重基于T变换的降维观测器设计方法。要的一类观测器-Reduced-order state observer is very important dimension reduction based on T transform observer design method. To a class of observer
pcasearch
- 基于焊接图片的pca降维,knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测,没有相应的标签,只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
pca降维算法
- pca降维算法,试验已经成功,将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)
数据降维工具箱
- 数据降维matlab程序包,几乎涵盖了所有的主流数据降维方法(Data dimensionality reduction matlab package covers almost all the mainstream data reduction methods)
drtoolbox.tar
- 降维处理开源工具箱,matlab平台使用(A toobox for dimensionality reduction on Matlab platform.)
PCA实现特征降维
- pca和_fase_pca实现特征降维,两种算法都有所改进,特别是pca可以根据自己的需要进行相应的改进,代码清晰易懂,希望对你有帮助。(PCA and _fase_pca to achieve feature reduction, the two algorithms have improved, especially PCA can be improved according to their needs, the code is clear and easy to understand,
降维
- 数值分析自适应降维近似MATLAB算例相关程序(polynomial dimension-reduction)
lda-0.2-matlab.tar
- lda降维方法源码,lda 方法有很牛逼的降维效果,对分类精度有很大的提升(lda dimension reduction method source code, lda method is very Niubi dimension reduction effect, classification accuracy has greatly improved)
数据降维
- 数据降维,人工智能 ,使用MATLAB打开运行即可。。。。。。(Data reduction, artificial intelligence, open and run using MATLAB)
87361055LaplacianEigenmapSwissRoll
- 对高维数据进行降维,可以方便大家利用时间。(Dimensionality reduction for high dimensional data)
Isomap降维算法MATLAB代码实现
- Isomap降维算法MATLAB代码实现。isomap最主要的优点就是使用“测地距离”,而不是使用原始的欧几里得距离,这样可以更好的控制数据信息的流失,能够在低维空间中更加全面的将高维空间的数据表现出来。机器学习。流形学习。降维
主成分分析降维代码(直接调用版)
- 主成分分析降维代码,完整版,可以直接放进matlab运行。(Principal component analysis dimension reduction code, complete version, can be directly put into Matlab to run.)