How do I calculate a similarity matrix with a Student-t kernel?
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As the title says, how do I calculate a similarity matrix with an un-normalized Student-t kernel? I'm attempting to calculate Kullback-Leibler divergence for different t-SNE runs, but need a Q-matrix for that. A few steps before the Q-matrix, I need the similarity matrices made using the un-normalized Student-t kernel.
I'm using r, not sure if that's relevant to an answer.
r dataset visualization similarity tsne
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$begingroup$
As the title says, how do I calculate a similarity matrix with an un-normalized Student-t kernel? I'm attempting to calculate Kullback-Leibler divergence for different t-SNE runs, but need a Q-matrix for that. A few steps before the Q-matrix, I need the similarity matrices made using the un-normalized Student-t kernel.
I'm using r, not sure if that's relevant to an answer.
r dataset visualization similarity tsne
$endgroup$
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
As the title says, how do I calculate a similarity matrix with an un-normalized Student-t kernel? I'm attempting to calculate Kullback-Leibler divergence for different t-SNE runs, but need a Q-matrix for that. A few steps before the Q-matrix, I need the similarity matrices made using the un-normalized Student-t kernel.
I'm using r, not sure if that's relevant to an answer.
r dataset visualization similarity tsne
$endgroup$
As the title says, how do I calculate a similarity matrix with an un-normalized Student-t kernel? I'm attempting to calculate Kullback-Leibler divergence for different t-SNE runs, but need a Q-matrix for that. A few steps before the Q-matrix, I need the similarity matrices made using the un-normalized Student-t kernel.
I'm using r, not sure if that's relevant to an answer.
r dataset visualization similarity tsne
r dataset visualization similarity tsne
asked Aug 4 '17 at 21:59
BioMattBioMatt
62
62
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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$begingroup$
You can use dt
from the stats
to get the density of a Student-t distribution. See the help page for extra information about this, and related, functions.
An example, showing the Student-t distrib
library(stats)
xs = seq(-5, 5, .1)
density = dt(xs, df=1)
plot(xs, density)
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1 Answer
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$begingroup$
You can use dt
from the stats
to get the density of a Student-t distribution. See the help page for extra information about this, and related, functions.
An example, showing the Student-t distrib
library(stats)
xs = seq(-5, 5, .1)
density = dt(xs, df=1)
plot(xs, density)
$endgroup$
add a comment |
$begingroup$
You can use dt
from the stats
to get the density of a Student-t distribution. See the help page for extra information about this, and related, functions.
An example, showing the Student-t distrib
library(stats)
xs = seq(-5, 5, .1)
density = dt(xs, df=1)
plot(xs, density)
$endgroup$
add a comment |
$begingroup$
You can use dt
from the stats
to get the density of a Student-t distribution. See the help page for extra information about this, and related, functions.
An example, showing the Student-t distrib
library(stats)
xs = seq(-5, 5, .1)
density = dt(xs, df=1)
plot(xs, density)
$endgroup$
You can use dt
from the stats
to get the density of a Student-t distribution. See the help page for extra information about this, and related, functions.
An example, showing the Student-t distrib
library(stats)
xs = seq(-5, 5, .1)
density = dt(xs, df=1)
plot(xs, density)
answered Oct 23 '17 at 21:28
PieterPieter
806417
806417
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