sftVCosSimilarity: Compute soft weighted cosine similarity of two numeric...
In vh-d/RPortfolioSimilarity: Tools for clustering portfolios based on cosine similarity
Description
Usage
Arguments
Details
Value
Description
Compute soft weighted cosine similarity of two numeric vectors
Usage
1
sftVCosSimilarity(a, b, weights)
Arguments
a
numeric vector
b
numeric vector
w
numeric matrix of weights
Details
a, b and c are expected to have the same length.
Soft cosine similarity allows accounting for (cor)relations between features.
Value
Numeric value of cosine similarity
vh-d/RPortfolioSimilarity documentation built on Oct. 17, 2019, 3:11 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
Compute soft weighted cosine similarity of two numeric vectors
Usage
1 | sftVCosSimilarity(a, b, weights)
|
Arguments
a |
numeric vector |
b |
numeric vector |
w |
numeric matrix of weights |
Details
a, b and c are expected to have the same length.
Soft cosine similarity allows accounting for (cor)relations between features.
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.
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.