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mySVD
- svd算法可用于降维,也可用于pca的分解中。-SVD algorithm can be used to complete the PCA algorithm. It can also be used to realize dimensionality reduction.
biufeng
- 是学习PCA特征提取的很好的学习资料,信号维数的估计,Pisarenko谐波分解算法。- Is a good learning materials to learn PCA feature extraction, Signal dimension estimates, Pisarenko harmonic decomposition algorithm.
suisang_v27
- 是学习PCA特征提取的很好的学习资料,Pisarenko谐波分解算法,包括最小二乘法、SVM、神经网络、1_k近邻法。- Is a good learning materials to learn PCA feature extraction, Pisarenko harmonic decomposition algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
king_hh23
- 借鉴了主成分分析算法(PCA),Pisarenko谐波分解算法,MIMO OFDM matlab仿真。- It draws on principal component analysis algorithm (PCA), Pisarenko harmonic decomposition algorithm, MIMO OFDM matlab simulation.
nie_qf35
- 大学数值分析算法,是学习PCA特征提取的很好的学习资料,Pisarenko谐波分解算法。- University of numerical analysis algorithms, Is a good learning materials to learn PCA feature extraction, Pisarenko harmonic decomposition algorithm.
test
- 该方法利用人脸具有镜像对称的自然特性,依据奇偶分解原理,生成成镜像奇、偶对称样本,井利用人脸对称图像作为训练样本,再利用主分量分析(PCA)对训练样本进行二阶相关和降维处理,然后对处理后的样本进行ICA特征提取。理论和分析实验证明,该算法有效减线了人脸受到视角、光照、人脸表情、姿势变化等因素的最响,又增加了训练样本容量,减少了计算复杂度,同时有效解决了小样本问题,提高了识别率.(The method uses the natural characteristics of mirror symme
VBLRMat
- 矩阵填充,低秩矩阵恢复,鲁棒PCA,低秩矩阵分解,跟大牛学习(Matrix Completion and Low rank matrix restoration)
eof
- EOF(经验正交分解,PCA)matlab程序,可供大家学习和参考。。。(EOF program for everyone to learn reference.)