搜索资源列表
Classification-MatLab-Toolbox
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-pattern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
an_ica_tool
- 一个ICA工具。This binary version of the runica() function of Makeig et al. contained in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses the logistic infomax ICA algorithm of Bell and Sejnowski, with natural gradient and extended
pca-svm
- 本程序用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列
pca
- 主分量分析的源程序，可以用于降阶，压缩图像，还可用于ICA的预处理
A_comparative_PCA_and_ICA_for_ECG
- 比较了PCA和ICA在心电提取方面的性能-Comparison of the PCA and ICA in mind aspects of the performance of electric extraction
ICA_algorithms_based_on_different_objective_functi
- 一共包含了5个ICA的算法，其中： fastica.m文件中的ICA算法是基于负熵的； m_fastica.m文件中的ICA算法是基于负熵的改进算法； fastica_kurt.m文件中的ICA算法是基于峭度的； fastica_ML.m文件中的ICA算法是基于互信息的； NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA
pca(ica)svm
- 基 于 pca(ica)-svm 实 现 故 障 诊 断 -PCA_test.......
pcaica
- pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析-the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis
PCA_and_ICA
- pca and ica.dimensionality reduction
main_TE
- ICA-PCA 故障诊断，matlab源码。-ICA-PCA Fault diagnosis
saining_V3.7
- 是学习PCA特征提取的很好的学习资料，ICA（主分量分析）算法和程序，计算目标和海洋回波的功率谱密度。- Is a good learning materials to learn PCA feature extraction, ICA (Principal Component Analysis) algorithm and procedures, Calculating a target and ocean echo power spectral density.
bougou_v15
- 基于掌纹识别的在线身份验证 识别算法本科毕设，ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transf
Classification-MatLab-Toolbox
- matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
rzcrgnition
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
PCA-ICA
- 实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
pca_ica
- 可以实现主成分分析（PCA）和独立成分分析（ICA）。(This package contains functions that implement Principal Component Analysis (PCA) and Independent Component Analysis (ICA).)
Independent component analysis
- Independent component analysis and Principle component analysis PCA
drtoolbox
- 包含多种常用维数优化算法及应用，PCA , ICA, LDA，LFA LPP，KPCA 等等。(There are many Dimensionality Reduction methods including PCA , ICA, KICA and so on.)
pca_ica
- PCA、快速ICA算法，实现信号的分离(PCA and fast ICA algorithm to realize the separation of signals)