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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
java-cluster.zip
- 用java语言实现文本聚类，包括聚类前的数据预处理：分词、降维、建立向量空间模型等,Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
mani.rar
- 一个集成了8种降维方法的GUI（包括常见的PCA、LLE、isomap、HLLE等线性与非线性将为方法）,An integrated eight kinds of dimensionality reduction methods GUI (including common PCA, LLE, isomap, HLLE, etc. will be linear and nonlinear methods)
2DPCA降维然后在重构图像
- 2DPCA降维，然后在重构图像，对数据降维者非常有帮助。,2DPCA dimensionality reduction, and then in the reconstructed image, dimensionality reduction of data are very helpful.
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!
dimreduce
- 普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
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.
NeighborPreservEmbedd
- 一种邻域保护嵌入算法，用于高维数据的降维处理-The protection of a neighborhood algorithm for high dimensional data, dimensionality reduction to deal with
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!
OLPP
- 正交的Linear Graph Embedding算法！用于降维，供大家学习交流。-Orthogonal Linear Graph Embedding Algorithm! For dimensionality reduction for them to learn from the exchange.
pca
- 主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.
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
PCA
- 对输入的高维特征向量进行pca降维后输出低维的特征向量-PCA dimensionality reduction
empca
- EMPCA算法的函数代码，附带有训练测试数据集，用于特征降维等方面。-Algorithm EMPCA function code, attached to the test data set there is training for the characteristics of dimensionality reduction and so on.