搜索资源列表
chenagaus
- 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value
PathSPCA
- 稀疏PCA的优化解算法，较新的pca算法，供大家学习交流！-Optimal Solutions for Sparse Principal Component Analysis
DSPCA
- 关于有直接稀疏PCA的方法，一种较新的PCA算法，供大家学习参考-Direct sparse PCA
Matlab-codes
- 稳健稀疏PCA算法，能够对噪音与异常点数据表现稳健-Robust Sparse PCA
45
- 一个简单的图像稀疏分解的例子，用了PSO—PCA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
feature_reduction
- this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code. this code tested and work properly
SPCA_ALM
- 主要是用PCA主矢量分析的方法在稀疏优化的运用，代码简单易懂，适合初学者-The method is mainly used in the PCA main vector analysis to optimize the use of sparse code easy to understand for beginners
1Sparse-PCA-Algorithms
- 1家庭联合稀疏主成分分析算法的异常……Jiang_ku_0099M_12176_DATA_1-1A Family of Joint Sparse PCA Algorithms for Anomaly ... Jiang_ku_0099M_12176_DATA_1
robust-PCA
- robust PCA的应用实例 很有代表性的方法-this paper proposed a approach of robust face recognition by exploiting the sparse error component obtained by RPCA.
sparse_pca-
- Calculates a sparse PCA model
iexact_alm_rpca
- 鲁棒主成分分析 低秩与稀疏矩阵分解 增广拉格朗日 图像重建、去噪-robust pca low-rank and sparse matrix decomposition
LRSD
- 用于分析Robust PCA对应的MATLAB程序，将一个矩阵分解为低秩和稀疏矩阵的形式(This paper analyzes the MATLAB program corresponding to Robust PCA, and decomposes a matrix into a form of low rank and sparse matrix.)