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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Another visualization method is to present an MDS object as a graph. A sample code is listed here:
> library(igraph) > swiss.sample = swiss[1:10,] > g = graph.full(nrow(swiss.sample)) > V(g)$label = rownames(swiss.sample) > layout = layout.mds(g, dist = as.matrix(dist(swiss.sample))) > plot(g, layout = layout, vertex.size = 3)
The graph presentation of MDS object
You can also compare differences between the generated results from MDS and PCA. You can compare their differences by drawing the projected dimensions on the same scatter plot. If you use a Euclidean distance on MDS, the projected dimensions are exactly the same as ...
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