| Type: | Package |
| Title: | Implementation of Frequent-Directions Algorithm for Efficient Matrix Sketching |
| Version: | 0.1.0 |
| Description: | Implement frequent-directions algorithm for efficient matrix sketching. (Edo Liberty (2013) <doi:10.1145/2487575.2487623>). |
| URL: | https://github.com/shinichi-takayanagi/frequentdirections |
| BugReports: | https://github.com/shinichi-takayanagi/frequentdirections/issues |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| Imports: | ggplot2, |
| Suggests: | testthat, knitr, rmarkdown |
| LazyData: | true |
| RoxygenNote: | 6.1.1 |
| NeedsCompilation: | no |
| Packaged: | 2019-04-15 13:03:42 UTC; stakaya |
| Author: | Shinichi Takayanagi [aut, cre], Nagi Teramo [aut] |
| Maintainer: | Shinichi Takayanagi <shinichi.takayanagi@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2019-04-16 08:52:42 UTC |
Plot data using the first and second singular vector
Description
Plot data using the first and second singular vector
Usage
plot_svd(a, label = NULL, b = a)
Arguments
a |
Original matrix to be sketched (n x m) |
label |
Group index for each a's row. These values are used for group and color. |
b |
A sketched matrix (l x m) |
Examples
# Dummy data
size_col <- 50
size_row <- 10^3
x <- matrix(
c(rnorm(size_row * size_col), rnorm(size_row * size_col, mean=1)),
ncol = size_col, byrow = TRUE
)
x <- scale(x)
y <- rep(1:2, each=size_row)
# Show 2D plot using SVD
frequentdirections::plot_svd(x, y)
# Matrix Skethinc(l=6)
b <- frequentdirections::sketching(x, 6, 10^(-8))
# Show 2D plot using sketched matrix and show similar result with the above
# That means that 6 dim is enough to express the original data matrix (x)
frequentdirections::plot_svd(x, y, b)
Compute a sketch matrix of input matrix
Description
Compute a sketch matrix of input matrix
Usage
sketching(a, l, eps = 10^(-8))
Arguments
a |
Original matrix to be sketched (n x m) |
l |
The number of rows in sketched matrix (l x m) |
eps |
If a value is smaller than eps, that is considered as equal to zero. The default value is 10^(-8) |
Examples
# Dummy data
size_col <- 50
size_row <- 10^3
x <- matrix(
c(rnorm(size_row * size_col), rnorm(size_row * size_col, mean=1)),
ncol = size_col, byrow = TRUE
)
x <- scale(x)
y <- rep(1:2, each=size_row)
# Show 2D plot using SVD
frequentdirections::plot_svd(x, y)
# Matrix Skethinc(l=6)
b <- frequentdirections::sketching(x, 6, 10^(-8))
# Show 2D plot using sketched matrix and show similar result with the above
# That means that 6 dim is enough to express the original data matrix (x)
frequentdirections::plot_svd(x, y, b)