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Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
pcafacerecognition
- 基于主成分分析(PCA)的人脸识别系统 利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度-pca face recognition
pcasearch
- 基于焊接图片的pca降维，knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
PCA
- 自己写的PCA降维算法，还有模糊k均值大家可以参考一下-Write their own PCA dimensionality reduction algorithm, and fuzzy k means we can refer to
PCA
- LPA是主成分分析算法，用于特征提取和特征空间的降维-LPA code for feature
pcapro
- 基于主成分分析的PCA算法，利用进行各类图像降维，达到精简计算过程的目的。-PCA based on principal component analysis algorithm for various images using dimensionality reduction to achieve the purpose of streamlining the calculation.
pca
- 目前，pca算法已经广泛应用于各方面，就拿图像处理，经常做的一件事就是当提取的图像特征维度比较高时，为了简化计算量以及储存空间，需要对这些高维数据进行一定程度上的降维，并尽量保证数据的不失真。-Currently, pca algorithm has been widely used in various aspects, Take image processing, often do one thing when the dimensions of the image feature extr
pca
- 此算法能进行主元分析，实现原始数据的降维，对对象进行主成分分析-This algorithm can perform principal component analysis, to achieve the original data dimensionality reduction, principal component analysis of the object
PCA-K_means
- 基于PCA降维的k-means算法，附带有检测正确率的源码以及相应的检测数据-PCA dimensionality reduction based on k-means algorithm, source code comes with the correct detection rate and the corresponding test data
PCA
- PCA算法实现对数据降维，train_sample为训练样本，train_class为训练样本的分类结果，test_sample为测试样本，test_class为测试样本的分类结果，可以从UCI下载数据集进行调用~-PCA algorithm for data dimensionality reduction, train_sample of training samples, train_class for the classification of training samples, tes
PCAtest
- PCA降维算法，不是MATLAB内置的pca降维-PCA dimensionality reduction algorithm, not the MATLAB built-in pca dimensionality reduction
38-PCA
- 模式识别中PCA 算法，实现降维，其中包括代码，ppt-PCA，Pattern Recognition
pca
- 可以很好的实现流形学习算法中的线性降维算法PCA数据降维。-Can well realize the manifold learning algorithm of linear dimension reduction algorithm of PCA data dimension reduction.
pca
- 特征降维算法的MATLAB代码，适合初学者，简单易懂。-A MATLAB code about PCA algorithm, suitable for beginners, simple and easy to understand.
pca降维算法
- pca降维算法，试验已经成功，将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)
PCA
- 简单的数据降维算法（PCA）举例，构造随机的10维数据，降维成3维的。Sample可替换成用户数据(Examples of simple data reduction algorithms (PCA) are presented)
PCA
- PCA 算法演示 主要用于数据进行降维处理(PCA suanfa zhuyaoyongyushujujinxingjiangweichuli)
PCAmnist
- 经典PCA降维算法，通过最大方差提取特征(Classical PCA algorithm)
pca_PCA降维
- 一款很好用的PCA降维算法，可以自己修改后随意使用。(A very good PCA dimensionality reduction algorithm.You can modify it yourself and use it at will.)
PCA
- 不用自带函数，而是直接编程实现PCA算法。然后用PCA实现将数据从三维降到二维。(PCA algorithm is realized by direct programming instead of self-contained functions.Then PCA is used to reduce the data from three-dimensional to two-dimensional.)