cosine_sim_func: Calculate the pairwise similarity between rows of numeric...
In trang1618/tdapseudotime: Temporal Phenotyping via Topological Data Analysis and Pseudo Time
Description
Usage
Arguments
Value
Examples
Description
Calculate the pairwise similarity between rows of numeric matrices
Usage
1
cosine_sim_func(a, b = NULL)
Arguments
a
Input matrix.
b
Input matrix. Optional.
If 'b' is NULL, use 'a', i.e. similarity between the rows of 'a'
would be computed.
Value
Matrix of the similarity between the rows of a and
the rows of b.
Examples
1
2
3
4
m <- matrix(1:8, ncol = 4) # a 2x4 matrix
n <- matrix(9:16, ncol = 4) # a 2x4 matrix
cosine_sim_func(m)
cosine_sim_func(m, n) # a 4x4 similarity matrix
trang1618/tdapseudotime documentation built on Feb. 9, 2021, 6:14 p.m.
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Description Usage Arguments Value Examples
Description
Calculate the pairwise similarity between rows of numeric matrices
Usage
1 | cosine_sim_func(a, b = NULL)
|
Arguments
a |
Input matrix. |
b |
Input matrix. Optional. If 'b' is NULL, use 'a', i.e. similarity between the rows of 'a' would be computed. |
Value
Matrix of the similarity between the rows of a and the rows of b.
Examples
1 2 3 4 | m <- matrix(1:8, ncol = 4) # a 2x4 matrix
n <- matrix(9:16, ncol = 4) # a 2x4 matrix
cosine_sim_func(m)
cosine_sim_func(m, n) # a 4x4 similarity matrix
|
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.
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