cosine_dist: Computes the cosine similarity between numeric vectors
In jmotif: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description
Usage
Arguments
Value
Examples
Description
Computes the cosine similarity between numeric vectors
Usage
1
cosine_dist(m)
Arguments
m
the data matrix
Value
Returns the cosine similarity
Examples
1
2
3
a <- c(2, 1, 0, 2, 0, 1, 1, 1)
b <- c(2, 1, 1, 1, 1, 0, 1, 1)
sim <- cosine_dist(rbind(a,b))
Example output
Loading required package: Rcpp
jmotif documentation built on March 26, 2020, 7:23 p.m.
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Description Usage Arguments Value Examples
Description
Computes the cosine similarity between numeric vectors
Usage
1 | cosine_dist(m)
|
Arguments
m |
the data matrix |
Value
Returns the cosine similarity
Examples
1 2 3 | a <- c(2, 1, 0, 2, 0, 1, 1, 1)
b <- c(2, 1, 1, 1, 1, 0, 1, 1)
sim <- cosine_dist(rbind(a,b))
|
Example output
Loading required package: Rcpp
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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