矩阵的高级函数：基于SVD算法(即奇异值分解法)的矩阵分解、通过SVD算法(即奇异值分解法)/特征值分解法来实现PCA算法、随机数矩阵

た入场券 2023-07-07 03:58 88阅读 0赞

# ![20191009191333910.png][][日萌社][Link 1] #

[人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）][AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]

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[分类算法：支持向量机、核技巧(核函数)、AdaBoost算法。线性降维(特征预处理:将三维特征空间中样本点映射到二维平面)：PCA算法][AdaBoost_PCA]

[矩阵的高级函数：基于SVD算法(即奇异值分解法)的矩阵分解、通过SVD算法(即奇异值分解法)/特征值分解法来实现PCA算法、随机数矩阵][SVD_SVD_PCA]

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[20191009191333910.png]: https://img-blog.csdnimg.cn/20191009191333910.png
[Link 1]: http://www.rimengshe.com/
[AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]: https://blog.csdn.net/zimiao552147572/article/details/88867161
[AdaBoost_PCA]: https://blog.csdn.net/zimiao552147572/article/details/104392743
[SVD_SVD_PCA]: https://blog.csdn.net/zimiao552147572/article/details/104418470
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