搜索资源列表
PLR
- 改进的分段线性表示方法，含有四种基本算法，自顶向下，自底向上，滑窗，以及滑窗式自底向上算法。是流行的降维、分类算法。改进之后，所得出的线段是连续的，解决了离散线段带来的不便。-Rewised PLR algorithms inclusing four basic methods: top down, bottom up, sliding window and sliding window bottom up. PLR is a popular algorithm for classificati
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
ga-optimization
- 遗传算法的优化计算，利用遗传算法进行建模自变量降维。-Genetic algorithm optimization calculations using genetic algorithms to model the independent variable dimensionality reduction.
Image
- 图像的特征提取，典型案例是基于PCA技术的人脸数据集得降维处理-Image feature extraction, a typical case is based on PCA face data set to reduce the dimension of
drtoolbox
- 模式识别领域常用的经典数据降维工具箱,可以查看源代码并且附带GUI，方便二次开发-a toolbox for reducing dimensionality in pattern recognization
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
pan-0.1.2.zip
- 降维算法LAMP的C实现。算法复杂度O(kn)，k是控制点的数量,dimension reduction algorithm LAMP s implementation in C
PCA
- PCA算法实现对多维数据进行降维，内涵exel数据可供检验-PCA algorithm to achieve dimensionality reduction of multidimensional data, connotation exel data available for inspection
model4--2009011537
- 模式识别作业四，用PCA方法处理数据。并对数据进行分类/降维，做出二维图像-Pattern recognition operations data processed by PCA method. And data classification/dimensionality reduction, make a two-dimensional image
monifold-learing
- 这是一个流形学习的PPT，比较全面的介绍了线性流形降维和非线性降维-This is a PPT of monifold learning!I help i is useful for you!
Isomap
- 非线性降维的经典算法Isomap，还有人连数据可以做实验-The classic nonlinear dimensionality reduction algorithm Isomap, even the data can experiment
maniford-learning
- 非线性降维的经典算法Isomap，LLe,还有人连数据可以做实验-The classic nonlinear dimensionality reduction algorithm Isomap, even the data can experiment
Self-adaptionMinerror
- 对二维最小误差法进行三维推广, 并结合三维直方图重建和降维思想提出了一种鲁棒的最小误差阈值分割算法.-For the three-dimensional extension of two-dimensional minimum error method, combined with three-dimensional histogram reconstruction and dimension reduction idea of minimum error thresholding a robu
binary2DPCA
- 双向二维主成分分析，可用于特征提取和数据降维。-binary 2DPCA is usually used for feature extraction and dada dimension reduction
wangwei
- 基于ORL人脸库的人脸识别，基于PCA降维、K邻域识别法；以及PCA降维，Fisher判别-Face recognition based on the ORL database, based on the PCA dimension K neighborhood identification method PCA dimension, Fisher discriminant
dwt
- 研究中我么采用分段的方法对数字音频信号嵌入水印。为便于研 究，以灰度图像为数字水印原始信号经二值化处理后得到水印再嵌入 音频信号的离散变换域中，从而得到嵌入水印的音频信号，其实现过 程原理框图如图1 所示。在水印嵌入的过程主要实现四个阶段的任 务：(1)数据准备与预处理，主要是准备好水印原始图片和待嵌入水印 的音频信号 (2)音频信号分段处理，用于嵌入水印的音频数据部分等 分成(m1*m2)个音频数据段 (3)水印图像降维处理，在此过程灰度图像 水印转化为二值图象,
KPCA
- 本方法使用sprtool，介绍了Kpca的应用，来进行高位数据降维，介绍三种核函数的应用，并附有结果图。-This method uses sprtool, introduced Kpca applications for high data dimensionality reduction, introduced three nuclear function, together with the results in Fig.
LLE
- 介绍了LLE的应用，以网上开源的LLE源码为基础，进行高维数据的降维，并附有程序结果图-LLE application, the LLE source open source online for dimensionality reduction of high-dimensional data, together with the results of the proceedings Figure
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
PCA
- pca主成分分析法，能够对高维数据进行降维，并能够实现分类-pca principal component analysis to reduce the dimensionality of high-dimensional data, and be able to achieve the classification