cosine_simi: Cosine similarity between vectors and/or matrices.
In ThomasChln/opticskxi: OPTICS K-Xi Density-Based Clustering
cosine_simi R Documentation
Cosine similarity between vectors and/or matrices.
Description
Inputs will be L2 normalized, then matrix multiplied (y is transposed).
If second input is missing, first input will be recycled, which enables to
efficiently compute cosine similarities between the rows of a rectangular
matrix.
Usage
cosine_simi(x, y)
Arguments
x
Numeric vector or matrix
y
Numeric vector or matrix. If missing, copied from parameter x.
Value
Symmetric numeric similarity matrix
ThomasChln/opticskxi documentation built on April 12, 2025, 5:43 a.m.
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| cosine_simi | R Documentation |
Cosine similarity between vectors and/or matrices.
Description
Inputs will be L2 normalized, then matrix multiplied (y is transposed). If second input is missing, first input will be recycled, which enables to efficiently compute cosine similarities between the rows of a rectangular matrix.
Usage
cosine_simi(x, y)
Arguments
x |
Numeric vector or matrix |
y |
Numeric vector or matrix. If missing, copied from parameter x. |
Value
Symmetric numeric 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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