搜索资源列表
PCA
- 主成分分析代码， 可以用于图像压缩等等，也叫PCAH或者KL变换-PCA or K_L transfer
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
pcapro
- 人脸识别,采用主成分分析进行人脸识别，主要是PCA的代码-face recogoninition
SPCA_ALM
- 主成分分析的代码。经测试可以使用。适用于模式识别领域。-Principal component analysis of the code. The test can be used. Suitable for pattern recognition.
LogPCA
- 一种非线性主成分分析Matlab代码 对数中心化处里-A nonlinear principal component analysis Matlab code number in the center of the Department of
PCA
- MATLAB 主成分分析 案例分析 程序 代码教程 参考代码-MATLAB principal component analysis case analysis code tutorial reference code
kernelpca_tutorial
- 核主成分分析的MATLAB代码，很好用的-Kernel principal component analysis by matlab
PCA
- 该压缩包包含了基于主成分分析的人脸识别代码，以及matlab的数据库。并有详细的注释。-This zip file contain the matlab code of eigenface. Further, we also detail the meaning of some important code.
pca_example
- 主成分分析代码实现，可输出主成分系数，主成分得分，特征根，贡献率，累计贡献率-pca example
nystrom_extension
- 是一个关于核主成分分析的MATLAB代码。-It is a MATLAB code on Kernel Principal Component Analysis.
PCA_CPP
- 里面有两个简单的主成分分析源代码，对于初学或想了解主成分分析算法的思想非常有帮助，简单易用。本人也是学习的其他同学的代码，不用于商业，仅供交流学习。-There are two simple principal component analysis of the source code for the beginner or want to know the thinking of principal component analysis algorithm is very helpful an
fingben_v31
- 分形维数计算的毯子算法matlab代码,可直接计算得到多重分形谱,包括主成分分析、因子分析、贝叶斯分析。- Fractal dimension calculation algorithm matlab code blankets, It can be directly calculated multi-fractal spectrum, Including principal component analysis, factor analysis, Bayesian analysis.
koufou
- 用于建立主成分分析模型，这是第二能量熵的matlab代码，结合PCA的尺度不变特征变换(SIFT)算法。- Principal component analysis model for establishing, This is the second energy entropy matlab code, Combined with PCA scale invariant feature transform (SIFT) algorithm.
pca
- 自己编写的主成分分析法的代码，可用于定位中特征的提取-Write your own code of principal component analysis (pca), can be used to locate in feature extraction
PCA
- 该代码主要实现样本的主成分分析，包括一个xls文件的数据样本，一个PCA的主程序。(This code is usedto realize principal component analysis, including a XLS file of data samples and a PCA main program.)
kPCA_v3.1 (1)
- KPCA用于数据特征的降维，先通过核方法，将样本映射到高维空间，再进行主成分分析过程。(KPCA is used to reduce the dimension of data, first through the kernel method, the sample is mapped to high-dimensional space, and then the principal component analysis process.)
pca
- 该脚本可以用于降维或者特征选择，名字为主成分分析。(Dimensionality reduction)
matlab
- 在实际课题中，为了全面分析问题，往往提出很多与此有关的变量(或因素)，因为每个变量都在不同程度上反映这个课题的某些信息。(PCAPrincipal Component Analysis (PCA) is a multivariate statistical analysis method that selects multiple variables by linear transformation to select fewer variables. It is also called pri
代码实现
- 采用主成分分析法判断了北京2000-2010年的经济活力。采用遗传算法优化的神经元网络模型评估10个城市的经济活力，马尔可夫灰度预测预测未来5年的发展状况。(The economic vitality of Beijing from 2000 to 2010 was judged by principal component analysis. The neural network model optimized by genetic algorithm is used to evaluate
主成分分析降维代码（直接调用版）
- 主成分分析降维代码，完整版，可以直接放进matlab运行。(Principal component analysis dimension reduction code, complete version, can be directly put into Matlab to run.)