主成分分析
From Ufldl
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== Introduction == | == Introduction == | ||
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【原文】：Principal Components Analysis (PCA) is a dimensionality reduction algorithm | 【原文】：Principal Components Analysis (PCA) is a dimensionality reduction algorithm | ||
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implement '''whitening''', which is an important pre-processing step for many | implement '''whitening''', which is an important pre-processing step for many | ||
algorithms. | algorithms. | ||
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| + | 【初译】：主成分分析是一种能够极大提升非监督学习速度的数据降维算法。更重要的，理解主成分分析算法对于学习implement whitening有很大的帮助，而implement whitening算法是一种很重要的预处理算法。 | ||
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| + | 【一审】：主成分分析是一种能够极大提升非监督学习速度的数据降维算法。更重要的，理解主成分分析算法将使我们能使用白化方法，白化处理是一种很重要的预处理算法。 | ||
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| + | 【二审】：主成分分析（PCA）是一种能够极大提升非监督特征学习速度的数据降维算法。更重要的是，理解PCA算法，对实现白化算法有很大的帮助，很多算法都先用白化算法作预处理步骤。 | ||
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Suppose you are training your algorithm on images. Then the input will be | Suppose you are training your algorithm on images. Then the input will be | ||
