Abstract: To verify cluster separation in high-dimensional data, analysts often reduce the data with a dimension reduction (DR) technique, and then visualize it with 2D Scatterplots, interactive 3D ...
library(ggvenn) a <- list(A = 1:5, B = 4:9, C = 3:7, D = 1:20, E = 15:19) ggvenn(a, c("A", "B")) # draw two-set venn ggvenn(a, c("A", "B", "C")) # draw three-set venn ...
The ggcorrplot package can be used to visualize easily a correlation matrix using ggplot2. It provides a solution for reordering the correlation matrix and displays the significance level on the ...
Abstract: Static scatterplots often suffer from the overdraw problem on big datasets where object overlap causes undesirable visual clutter. The use of zooming in scatterplots can help alleviate this ...
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