搜索资源列表
DWT_PCA
- 离散小波变换,然后主成分分析进行数据降维,用于模式识别,如人脸识别,掌纹,表情,指纹等识别。-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palmprint, face, finge
KPCAEXAMPLE
- 一个很好的核主成分分析matlab程序应用举例。该程序是在前人的核主成分分析程序基础上做了适当的修改产生的,可用于多维数据的降维和压缩处理。-A good kernel principal component analysis matlab application procedures, for example. The program is in the predecessors of Kernel Principal Compone
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
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
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
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.
SAX_2006_ver
- 它是一种解决高维数据降维的方法程序,用于符号化表示,在研究时间序列数据挖掘方面具有广泛的应用。-It is a solution of high dimensional data dimensionality reduction methods and procedures used to symbolize that in the study of time series data mining has a wide range of
pca
- PCA数据降维,利用MATLAB进行开发学习-PCA of data dimensionality reduction, using MATLAB to develop learning
PCAxmeas_fault1
- 主元分析方法(PCA)是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 -Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses th
pca
- 主成分分析程序,应用于图像特征提取,数据降维等方面 -the code of PCA
PCA
- 主分量分析,用于高维数据降维或提取目标特征。程序精简,效率高. -Principal Component Analysis is used to make data dimensionality reduction or extract target characteristics。
vstock61
- 离散小波变换,然后主成分分析进行数据降维,用于模式识别,如人脸识别,掌纹,-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palm prints,
LDA_coil
- 线性鉴别分析方法,数据降维,图像处理,模式识别-LDA
PR_paper
- 基于独立成分分析的人脸识别方法研究 基于流形学习的数据降维方法研究 人脸识别系统的设计与开发 基于主成分分析的人脸识别 特征提取算法的研究与改进。。。。。。 做人脸识别式一系列的参考资料 -Face recognition based on independent component analysis method based on manifold learning method of data reducti
PCA
- PCA算法主要用于提取高维特征,可以将图像这种高位数据降维成为低维向量-PCA algorithm
KarhunenLoeve
- 数据降维算法 K_L变换是一种最优正交变换,以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q,来对该矢量信号X做正交变换Y=QX,则称此变换为K-L变换(K-LT或KLT)。-Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X norm
PCA
- 主成分分析,一种掌握事物主要矛盾的统计分析方法,它可以从多元事物中解析出主要影响因素,揭示事物的本质,简化复杂的问题,主要用于数据降维-PCA,a kind of statistical analysis method which master the main self-contradict of things, it can resolve the main factors from multiple things reveal
DCC
- 基于典型相关性的线性鉴别分析,先用PCA对数据降维之后,再结合典型相性鉴别分析来得到转换矩阵-Based on a typical linear correlation analysis to identify, first PCA for data reduction, the combined analysis to identify the typical phase of the transformation matrix ob
toolbox-for-dimensionality-reduction
- 一个关于数据降维的工具包,外国牛人编写,囊括了各种降维方法,是一个很好的工具!-A tool for data reduction package, foreign cattle were written, include a variety of dimension reduction method is a good tool!