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对高维数据采用PCA进行降维处理
- 对高维数据采用PCA进行降维处理，主成分个数采用累积方差贡献率的方法确定
code-hxf 数据降维基本算法
- 浙江大学何晓飞写的数据降维基本算法，对初学者很有帮助-Zhejiang university HeXiaoFei wrote down the wiki data algorithm for beginners helpful
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
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
MFA
- Marginal Fisher Analysis算法，可用于降维，注释有使用说明！供大家学习交流！-Marginal Fisher Analysis algorithm, can be used for dimensionality reduction, the Notes are used to explain! For all to learn!
toolbox_dimreduc
- 几种经典的降维工具的matlab程序。供想学习流形学习算法的朋友分享。-This is a dimension reduction toolbox developed by Laurens van der Maaten(MISS). You are free to use, modify, or redistribute this software in any way you want, but only for non-commercial purposes. This Matlab too
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理，在进行聚类-pca-kmeans clustering use the data of uci:wine.
sne
- 一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding-Based on the probability of data dimensionality reduction approach: Stochastic Neighbor Embedding
KLPP
- 核lpp（局部保持映射）的降维方法。跟Xiaofei He的论文配套-Nuclear lpp (partial maintain mapping) methods of dimensionality reduction. Xiaofei He told the paper supporting
LGE
- LGE算法（Linear Graph Embedding）用于降维，代码比较长，比较复杂。供大家研究！-LGE algorithm (Linear Graph Embedding) for dimensionality reduction, code longer, more complicated. For everyone!
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)
pca降维
- pca数据降维算法，很好的解决数据灾难的问题。(PCA data dimensionality reduction algorithm, a good solution to the problem of data disaster.)
11数据降维_配套代码
- 这是吴恩达在course公开课上讲的数据降维的作业的代码，主要是应用PCA对数据降维(This is Wu Enda in the course open class lectures on data dimension reduction operations code, mainly using PCA for data dimensionality reduction)
降维
- 各种降维方法集合，在处理高维数据上亲测有效，希望对大家有帮助(A collection of various dimensionality reduction methods that can handle high dimensional data)
example_knn(降维)
- knn降维算法用于图像分类，将所给样本遥感图像按照要求进行分类(KNN dimensionality reduction algorithm for image classification)
降维
- 数值分析自适应降维近似MATLAB算例相关程序(polynomial dimension-reduction)
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)
pca_PCA降维
- 一款很好用的PCA降维算法，可以自己修改后随意使用。(A very good PCA dimensionality reduction algorithm.You can modify it yourself and use it at will.)
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
降维code
- 了解降维、特征筛选等基本原理 掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection Master the algorithm implementation and application of PCA, SVD, lad and NMF)