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 |
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Description: This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). Platform: |
Size: 92160 |
Author:Bob |
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Description: This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension. Platform: |
Size: 92160 |
Author:Sanketh Datla |
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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: This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension Platform: |
Size: 108544 |
Author:Tramper |
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Description: 主成分分析(PCA)学习，介绍了背景知识，公式推导，有助于理解-This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Platform: |
Size: 103424 |
Author:瞿林娣 |
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Description: This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar. Platform: |
Size: 91136 |
Author:ed |
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Description: pca学习资料，内含：1、A tutorial on Principal Components Analysis.pdf；2、ExercisePCA.m 3、PCA主成分分析.ppt-PCA learning material， which include 1.A tutorial on Principal Components Analysis.pdf；2.ExercisePCA.m 3.PCA.ppt. Platform: |
Size: 455680 |
Author:shenghonghe |
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