Rank: 21734 based on downloads (last 30 days) and 0 files submitted

Gabriel Akira Schreiber

E-mail: akira.schreiber@gmail.com
Company/University: RWTH Aachen

Personal Profile:
Professional Interests:: classification, vibration signals, machine learning

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Comments and Ratings by Gabriel Akira		View all 1 - 5 of 17
Updated	File	Comments	Rating
24 Aug 2009	UIMAGE - UIMAGESC Display image with uneven axis. Author: Frederic Moisy	Oh soo cool! Just what I needed.Very nicely done.
05 Aug 2009	Arrow3 Version 5 Draws lines with directional arrowheads. Author: Tom Davis
20 Jul 2009	Arrow3 Version 5 Draws lines with directional arrowheads. Author: Tom Davis
20 Jul 2009	arrow.m Draw a line with an arrowhead. Author: Erik Johnson	The arrowheads look distorted. Even the arrowheads in the demo look distorted.
15 Jul 2009	Generate spatial data Generate 1/f noise spatial data. Author: Jon Yearsley	Great, thank you very much.

Currently Watching
Type	Description
File	Principal Component Analysis

Files Matching Gabriel Akira's Watch List					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
06 Feb 2009		Principal Component Analysis Efficient, accurate principal component analysis Author: Mark Tygert	sparse, mathematics, statistics, pca, principal components ..., probability	223	5	4.8 4.8 \| 6 ratings

Comments and Ratings Matching Gabriel Akira's Watch List			1-5 of 9
Date	File	Comment by	Comments	Rating
30 Oct 2009	Principal Component Analysis Efficient, accurate principal component analysis	nsmaan Singh	Hello, This is the first time I am trying to use matlab. Since I only have fairly small job to do I am not trying to delve too deep. I have a 5000x5000 matrix like this (just a part...n=till 5000) 1.0 0.2 0.3 0.1.........n 0.2 1.0 0.1 0.3.........n 0.3 0.1 1.0 0.2..........n ... ... ... ... n n n n I have been using SpotFire so far for PCA analysis, but this matrix is too huge for its memory, hence trying matlab. Any help on how i can decompose it into 3 PC's would be greatly appreciated. Thank you	Comment only
06 May 2009	Principal Component Analysis Efficient, accurate principal component analysis	Wolfgang	But the same question as Jon Jackson. Is it possible to get the explained variances when i just compute (for example) the first three components?	Comment only
06 May 2009	Principal Component Analysis Efficient, accurate principal component analysis	Wolfgang		5
04 Apr 2009	Principal Component Analysis Efficient, accurate principal component analysis	Jon Jackson	Works really well, thanks. Is it possible to get the percentage of the explained variance for each component?	4
17 Mar 2009	Principal Component Analysis Efficient, accurate principal component analysis	Gabriel Akira Schreiber		5

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