cosine_dist: Computes the cosine similarity between numeric vectors
In jmotif: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
cosine_dist R Documentation
Computes the cosine similarity between numeric vectors
Description
Computes the cosine similarity between numeric vectors
Usage
cosine_dist(m)
Arguments
m
the data matrix
Value
Returns the cosine similarity
Examples
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))
jmotif documentation built on Nov. 5, 2025, 5:35 p.m.
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| cosine_dist | R Documentation |
Computes the cosine similarity between numeric vectors
Description
Computes the cosine similarity between numeric vectors
Usage
cosine_dist(m)
Arguments
m |
the data matrix |
Value
Returns the cosine similarity
Examples
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))
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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