October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to compress an image with SVD:
- First, install and load bmp:
> install.packages("bmp")
> library(bmp)
- You can then read the image of Lenna as a numeric matrix with the read.bmp function. When the reader downloads the image, the default name is lena512.bmp:
> lenna = read.bmp("lena512.bmp")
- Rotate and plot the image:
> lenna = t(lenna)[,nrow(lenna):1]
> image(lenna)
The picture of Lenna
- Next, you can perform SVD on the read numeric matrix and plot the percentage of variance explained:
> lenna.svd = svd(scale(lenna)) > plot(lenna.svd$d^2/sum(lenna.svd$d^2), type="l", xlab=" Singularvector", ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.