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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)
papericao
- 基本的ICA算法代码,进行有效的特征提取，是一种降维方法。-the matlab code of ICA
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.
jiangwei1
- 降维状态观测器是非常重要的一类观测器 基于P变换的降维观测器设计方法，-Reduced-order state observer is a very important class of observer-based P Transform reduced order observer design method
LLE
- 局部线性嵌入LLE，是一种非常高效的非线性降维方法，本文PPT主要介绍了LLE算法的实现过程，同时分析了其参数的选择，和MATLAB的仿真实现-Locally linear embedding LLE, is a very efficient nonlinear dimensionality reduction method, this paper mainly introduced the PPT LLE algorithm realization process, and analyzes
Improved_Nystrom_Method.zip
- 流行学习，改进Nystrom降维方法，很好用，欢迎下载,Improved Nystrom Kernel Low-rank Approximation
zl
- 对主元分析方法的编程，实现降维的目的，并有效的得到得分矩阵，输出结果-Principal component analysis method for programming, achieve the purpose of dimension reduction and effective to get the score matrix, the output
zl
- 主元分析方法的仿真，在matlab下运行，可以得到得分矩阵，并起到了降维的目的-Principal component analysis method of simulation in matlab running, you can get the score matrix, and played a dimensionality reduction purposes
pca
- 主成分分析（Principal Copmponent Analysis，简称PCA）是一种常用的机遇变量协方差矩阵对信息进行处理、压缩和提取的有效方法。主成分分析，这种方法可以有效的找出数据中最“主要”的元素和结构，去除噪音和冗余，将原有的复杂数据降维，能够发掘出隐藏在复杂数据背后的简单结构。-PCA (Principal Copmponent Analysis, abbreviated PCA) is a commonly used covariance matrix Opportunity
HRPCA
- 能够检测异常值 数据降维 特征提取 鲁棒主成分分析方法-Robust PCA
SIsomap
- IOSMAP非线性降维方法，算法正确，可以直接运行-IOSMAP nonlinear dimension reduction method, the algorithm is correct, can be directly run
zhouchengguzhangzhenduan
- 分形学习进行轴承故障诊断及各个震动数据的数据降维的方法-Fractal study conducted bearing fault diagnosis and the various vibration data dimensionality reduction method
lab11
- 使用指针方法定义函数Transpose转置一个n阶方阵。进一步理解降维处理的意义。-Transpose function using the pointer method defines an n-order matrix transpose. Further understanding of the meaning dimension reduction process.
netExam
- 主程序分析将维算法，可以按主程序分析方法降维。K的大小可以自由选择。-The main program of the dimension algorithm, according to the main program analysis dimension reduction method. The size of K can be free to choose.
lle
- lle作为一种重要的降维方法，有非线性和线性的特点-lle as an important dimension reduction method, nonlinear and linear features
LLE
- lle降维，可以参考非线性降维的方法，感觉没lda好用，比pca还行(LLE dimension reduction)
流行学习
- 流行学习的工具包，里面包含多种降维方法。(Popular learning toolkit, which contains a variety of dimensionality reduction methods.)
gpldecha-e-pca-d542a9b
- PCA是一种非线性降维方法特别适合于概率分布，得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.)
synthetic_data
- 实现LLE降维的一种改进方法，并通过文件中的五组数据来说明(LLE dimension reduction)
pca
- 大数据降维方法，具体的处理了图像等，包括数据的冗余部分，利用PCA技术快速降维。(Large data dimensionality reduction method.Specifically dealing with images, including redundant parts of data, and using PCA technology to reduce dimensionality rapidly.)