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iNformatics and Computing

Monday, June 7, 2010. For anyone who is new to PCA and would like to know the math behind it, these are the two papers one must probably read. One is a tutorial by Lindsay. I.Smith. And another is a very good paper by Jonathan Shlens. In R, prcomp. Once the PCA is performed usually the results are interpreted by plotting scatter plots. And usually PC1, PC2, PC3 are the three components considered as they most of the times have all the variation in the data expressed. A biplot is a scatter plot which al.

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iNformatics and Computing

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Monday, June 7, 2010. For anyone who is new to PCA and would like to know the math behind it, these are the two papers one must probably read. One is a tutorial by Lindsay. I.Smith. And another is a very good paper by Jonathan Shlens. In R, prcomp. Once the PCA is performed usually the results are interpreted by plotting scatter plots. And usually PC1, PC2, PC3 are the three components considered as they most of the times have all the variation in the data expressed. A biplot is a scatter plot which al.

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This web page sashikiranchalla.blogspot.com states the following, "Monday, June 7, 2010." We saw that the webpage said " For anyone who is new to PCA and would like to know the math behind it, these are the two papers one must probably read." It also said " One is a tutorial by Lindsay. And another is a very good paper by Jonathan Shlens. Once the PCA is performed usually the results are interpreted by plotting scatter plots. And usually PC1, PC2, PC3 are the three components considered as they most of the times have all the variation in the data expressed. A biplot is a scatter plot which al."

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