搜索资源列表
pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
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 relatively quick algorithm
pcafacerecognition
- 基于主成分分析(PCA)的人脸识别系统 利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度-pca face recognition
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 dimensionality reduction procedure.
Pca
- pca可以对数据进行降维，在模式识别中有重要应用。-pca pricipal component analysis
PCA-dimensionalityreduction
- 跟数据降维有关的matlab 源码 看清题目选择源码-dimensionality reduction of matlab code
lle
- 一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。-A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.
npe
- 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the
hlle
- 一种流形学习算法，改正了Isomap不能对非凸流形进行降维的不足，是一种局部等距的降维方法。-A manifold learning algorithm, Isomap can not be corrected for non-convex manifolds for the lack of dimensionality reduction is a partial isometric method of dimensionality reduction.
FLDbasedFaceRecognitionSystem_v2
- 基于fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition method, which is called Fisherface [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample scr ipt is incl
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
MATLABforGUIdesign
- 介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对 象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率，其 中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作 为文互工具的控件中，由用户通过交互界面逐步完成估计瞬时预率的工作.-Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MAT
pcalda
- 包括pca和lda两个文件，先用pca降维后进行lda进行分类，用于人脸识别，实验结果很好。-It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.
2DPCA
- 2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit
PCA
- 主成份分析，一个最经典的无监督学习算法，也是最常用的线性降维方法-PCA
lda
- lda 源码。用来为数据降维，使得识别率有所提高。-lda source code. Is used for data dimensionality reduction, making the recognition rate increased.
LSI.tar
- 标准LSI方法，广泛用于降维等模式识别问题-Standard LSI method, widely used for dimension reduction such as pattern recognition problem
eigenvalue_computation.tar
- 快速PCA计算方法，有效实现降维等操作，和特征选择-Fast PCA method of calculation of effective dimension reduction and other operations, and feature selection
ica_appD_demo
- 高校的ICA计算代码，广泛用于特征选择，降维，目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
2(2dpca)
- 两维pca变换，把图像进行二维的主成分分析得到降维向量，然后用此向量进行分类-2Dpca transfrom