搜索资源列表
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
llc
- 非线性降维方法llc 可以应用于高维数据的机器学习-Llc nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
lle
- 非线性降维方法lle 可以应用于高维数据的机器学习-Lle nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
kpca081223
- 非线性降维方法KPCA 可以应用于高维数据的机器学习-KPCA 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.
001PCAsift
- 尺度空间建立,图像读取,显示，输出 基本的图像处理函数 ，sift 算法的改进,sift算法的降维处理，是目前比较快的算法-Scale space set up, image read, display, output of basic image processing functions, sift algorithm, sift algorithm for dimensionality reduction treatment, is
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhoug
mddm
- MDDM是一种多类标分类降维算法，使用成对约束对正类和负类进行迭代- is a novel algorithm to deal with the multilabel dimensionality reduction.
PCA_LDA
- 《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 t
java-cluster
- 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 M
FisherDiscriminat
- 个人收集的关于线性降维的一些程序.希望对大家有所帮助.另外里面也有几个关于Fisher降维的程序.-Personal collection of linear dimensionality reduction on some of the procedures. Everyone would like to be helpful. In addition it also has some Fisher regarding dimensi
Mani
- 流形学习程序，Isomap，LLE，LTSA，etc，非线性数据降维-manifold learning, Isomap, LLE, LTSA, etc, nonlinear data dimensionality reduction
attfaces
- 机遇PCA的人脸识别，包括图像读取，PCA降维以及机遇简单贝叶斯分类-PCA Face Recognition opportunities, including the image read, PCA dimensionality reduction as well as the opportunity for easy Bayesian Classifier
RoyV08
- Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
pca
- 运用pca算法降维，提取主要特征值，从而达到降维目的-Dimensionality reduction using pca algorithm, extract the main features of the value of
LLE
- 关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助-High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help
KLFDA
- 这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised
PCA
- 优化后的PCA 能对数据进行降维 很实用-PCA can be optimized for data dimensionality reduction is very useful