wtVCosSimilarity: Compute weighted cosine similarity of two numeric vectors
In vh-d/RPortfolioSimilarity: Tools for clustering portfolios based on cosine similarity
Description
Usage
Arguments
Details
Value
Description
Compute weighted cosine similarity of two numeric vectors
Usage
1
wtVCosSimilarity(a, b, w)
Arguments
a
numeric vector
b
numeric vector
w
numeric vector of weights
Details
a, b and c are expected to have the same length.
∑(a*b*w)/√∑(w*a^2)√∑(w*b^2)
Value
Numeric value of cosine similarity
vh-d/RPortfolioSimilarity documentation built on Oct. 17, 2019, 3:11 a.m.
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Description Usage Arguments Details Value
Description
Compute weighted cosine similarity of two numeric vectors
Usage
1 | wtVCosSimilarity(a, b, w)
|
Arguments
a |
numeric vector |
b |
numeric vector |
w |
numeric vector of weights |
Details
a, b and c are expected to have the same length.
∑(a*b*w)/√∑(w*a^2)√∑(w*b^2)
Value
Numeric value of cosine similarity
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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