User contributions for ⚠️NikosA

16 March 2009

• 04:5004:50, 16 March 2009 diff hist −1‎ Principal Components Analysis ‎ →‎Using R's princomp() function
• 04:4704:47, 16 March 2009 diff hist +695‎ Principal Components Analysis ‎No edit summary
• 04:4104:41, 16 March 2009 diff hist +55‎ Principal Components Analysis ‎ →‎Using R's princomp() function
• 04:3504:35, 16 March 2009 diff hist +18‎ Principal Components Analysis ‎ →‎Using m.eigensystem
• 04:3404:34, 16 March 2009 diff hist −1‎ Principal Components Analysis ‎ →‎Using m.eigensystem
• 04:3304:33, 16 March 2009 diff hist +2‎ Principal Components Analysis ‎ →‎PCA using m.eigensystem based on the correlation matrix
• 04:2904:29, 16 March 2009 diff hist −4‎ Principal Components Analysis ‎ →‎PCA using m.eigensystem based on the covariance matrix
• 04:2504:25, 16 March 2009 diff hist +5‎ m Principal Components Analysis ‎ →‎PCA using m.eigensystem based on the covariance matrix
• 04:2204:22, 16 March 2009 diff hist +2,944‎ m Principal Components Analysis ‎No edit summary

10 March 2009

• 08:5408:54, 10 March 2009 diff hist +4‎ m Principal Components Analysis ‎No edit summary
• 08:5208:52, 10 March 2009 diff hist +2‎ m Principal Components Analysis ‎No edit summary
• 08:5108:51, 10 March 2009 diff hist +4‎ m Principal Components Analysis ‎No edit summary

8 March 2009

• 14:1814:18, 8 March 2009 diff hist +1‎ Talk:Principal Components Analysis ‎No edit summary
• 14:1814:18, 8 March 2009 diff hist +73‎ m Talk:Principal Components Analysis ‎No edit summary
• 14:1514:15, 8 March 2009 diff hist +62‎ m Principal Components Analysis ‎ →‎Background
• 14:1214:12, 8 March 2009 diff hist −18‎ m Principal Components Analysis ‎ →‎Background
• 14:1114:11, 8 March 2009 diff hist +33‎ m Principal Components Analysis ‎ →‎Principal Component Analysis
• 14:1014:10, 8 March 2009 diff hist +3‎ m Principal Components Analysis ‎ →‎Solutions to PCA
• 14:0914:09, 8 March 2009 diff hist +40‎ m Principal Components Analysis ‎No edit summary
• 14:0714:07, 8 March 2009 diff hist +6‎ Principal Components Analysis ‎ →‎Solutions to PCA