Description: A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box. Platform: |
Size: 299986 |
Author:viv |
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Description: 关于matlab主元分析的一个简单的实例，可供初学者参考学习。-Matlab PCA on a simple example of reference for beginners to learn. Platform: |
Size: 3072 |
Author:刘明 |
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Description: A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box.-A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box. Platform: |
Size: 300032 |
Author:viv |
Hits:
Description: 这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。-Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box. This tutorial focuses on building a solid intuition for how and why principal component
analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the
mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally,
nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers
of all levels will be able to gain a better understanding of PCA as well as the when, the how and
the why of applying this technique. Platform: |
Size: 300032 |
Author:吕健 |
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Description: 一个非常通俗易懂的主成分分析教程，给出了主成分分析在计算机视觉中的应用，最后给出了主成分分析的代码。-A very easy to understand tutorial principal component analysis, principal component analysis is given in the application of computer vision, and finally gives the principal component analysis of the code. Platform: |
Size: 4096 |
Author:李涵 |
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