frow_cos_sim: Fast calculation of cosine similarity between rows of two...
In baruuum/btoolbox: random toolbox
Description
Usage
Arguments
Details
Value
Description
Fast calculation of cosine similarity between rows of two matrices
Usage
1
frow_cos_sim(x, y)
Arguments
x
numeric matrix of dimension n times k
y
numeric matrix of dimension m times k
Details
this code divides x * y.t() by the row-wise norms of both x and y. If the norms get extremely small, the results might be numerically unstable. Use at own risk.
Value
matrix of dimension n times m where the (i,j)th element is the cosine similarity between the ith row of x and the jth row of y
baruuum/btoolbox documentation built on Aug. 17, 2020, 1:29 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value
Description
Fast calculation of cosine similarity between rows of two matrices
Usage
1 | frow_cos_sim(x, y)
|
Arguments
x |
numeric matrix of dimension |
y |
numeric matrix of dimension |
Details
this code divides x * y.t() by the row-wise norms of both x and y. If the norms get extremely small, the results might be numerically unstable. Use at own risk.
Value
matrix of dimension n times m where the (i,j)th element is the cosine similarity between the ith row of x and the jth row of y
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.