Description: 数值分析的EULER法，欢迎大家下载学习，用于特征降维，特征融合，相关分析等,真的是一个好程序，主要为数据分析和统计，包含位置式PID算法、积分分离式PID，基于kaiser窗的双谱线插值FFT谐波分析。- EULER numerical analysis method, Welcome to download the study, For feature reduction, feature fusion, correlation analysis, Really is a good program, Mainly for data analysis and statistics, It contains positional PID algorithm, integral separate PID, Dual-line interpolation FFT harmonic analysis kaiser windows. Platform: |
Size: 7168 |
Author:张顺祺 |
Hits:
Description: cordic算法的matlab仿真，用于特征降维，特征融合，相关分析等,内含心电信号数据及运用MATLAB写的源代码。- cordic matlab simulation algorithm, For feature reduction, feature fusion, correlation analysis, ECG data and includes source code written in MATLAB. Platform: |
Size: 4096 |
Author:mai |
Hits:
Description: 人脸识别技术作为生物体特征识别技术的重要组成部分，在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法（PCA）在人脸识别中的应用，在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真，并对样本图像进行了重构。本实验在ORL人脸库的基础上，选用每人前5张图片，共计40人200幅样本图像，通过快速PCA算法将10304维的样本特征向量降至20维，并实现了基于主分量的人脸重建，验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction. Platform: |
Size: 20067328 |
Author:季科 |
Hits:
Description: 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。-This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets. Platform: |
Size: 2542592 |
Author:robert |
Hits:
Description: 数值分析的EULER法，欢迎大家下载学习，用于特征降维，特征融合，相关分析等,真的是一个好程序，主要为数据分析和统计，包含位置式PID算法、积分分离式PID，基于kaiser窗的双谱线插值FFT谐波分析。
- EULER numerical analysis method, Welcome to download the study, For feature reduction, feature fusion, correlation analysis, Really is a good program, Mainly for data analysis and statistics, It contains positional PID algorithm, integral separate PID, Dual-line interpolation FFT harmonic analysis kaiser windows.
Platform: |
Size: 7168 |
Author:keng |
Hits:
Description: 用于特征降维，特征融合，相关分析等,matlab程序运行时导入数据文件作为输入参数，独立成分分析算法降低原始数据噪声。- For feature reduction, feature fusion, correlation analysis, Import data files as input parameters matlab program is running, Independent component analysis algorithm reduces the raw data noise. Platform: |
Size: 4096 |
Author:gai |
Hits:
Description: 稀疏流形聚类。作者是大名鼎鼎的Ehsan Elhamifar。-Sparse Manifold Clustering and Embedding (SMCE) is an algorithm based on sparse representation theory for clustering and dimensionality reduction of data lying in a union of nonlinear manifolds. Platform: |
Size: 32768 |
Author:王振 |
Hits:
Description: 用于特征降维，特征融合，相关分析等,基于K均值的PSO聚类算法,时间序列数据分析中的梅林变换工具。- For feature reduction, feature fusion, correlation analysis, K-means clustering algorithm based on the PSO, Time series data analysis Mellin transform tool. Platform: |
Size: 4096 |
Author:lengfuikaokang |
Hits:
Description: 用于特征降维，特征融合，相关分析等,独立成分分析算法降低原始数据噪声，这个有中文注释，看得明白。- For feature reduction, feature fusion, correlation analysis, Independent component analysis algorithm reduces the raw data noise, The Chinese have a comment, understand it. Platform: |
Size: 5120 |
Author:rkiwygis |
Hits:
Description: 基于马氏距离度量的局部线性嵌入算法
局部线性嵌入算法(LLE)中常用欧氏距离度量样本间相似度.而 对于图像等高维数据,欧氏距离不能准确体现样本间的相似程度.文中提出基于马氏距离度量的局部线性嵌入算法(MLLE).算法首先从现有样本中学习到一个 马氏度量,然后在LLE算法的近邻选择、现有样本及新样本降维过程中用马氏度量作为相似性度量.将MLLE算法及其它典型的流形学习算法在ORL和 USPS数据库上进行对比实验,结果表明MLLE算法具有良好的识别性能.
-Based on local linear embedding algorithm Mahalanobis distance metric LLE algorithm (LLE) common Euclidean distance measure of similarity between the samples. For high-dimensional image data, Euclidean distance can not accurately reflect the degree of similarity between samples. In this paper, Mahalanobis distance metric based on local linear embedding algorithm (MLLE). Firstly, learning the existing sample to a Markov measure, then LLE neighbor algorithm selection, existing samples and new samples dimensionality reduction process using Markov measure as a similarity measure would MLLE algorithms and other typical manifold learning algorithm on ORL and USPS to compare experimental results show MLLE algorithm has good recognition performance. Platform: |
Size: 406528 |
Author:fangsm |
Hits:
Description: 小波算法，用于对红外光谱或者拉曼光谱数据进行降噪和去背景等处理。-Wavelet algorithm for the Infrared or Raman spectral data to background processing and noise reduction. Platform: |
Size: 1024 |
Author:陈峰 |
Hits:
Description: ＭＡＴＬＡＢ实现的ＬＤＡ算法,能够实现高维数据降维-realization of LDA algorithm in MATLAB，High- dimensional data dimension reduction can be achieved Platform: |
Size: 221184 |
Author:张三 |
Hits:
Description: 一种流形学习算法，用于非线性降维算法，实验数据用的人脸数据。(A manifold learning algorithm for nonlinear dimensionality reduction algorithms, using face data for experimental data.) Platform: |
Size: 9042944 |
Author:3w_fx
|
Hits:
Description: Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.(We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising.) Platform: |
Size: 8192 |
Author:daxingxing001
|
Hits:
Description: LDA线性判别算法，可以用来对数据进行降维(LDA linear discriminant algorithm can be used for dimensionality reduction of data.) Platform: |
Size: 1024 |
Author:筱旭呀 |
Hits:
Search - data reduction algorithm