linalg_norm: Linear Algebra for Euclidean distance
In fakmct: Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
View source: R/helpers_function.R
linalg_norm R Documentation
Linear Algebra for Euclidean distance
Description
Linear Algebra for Euclidean distance
Usage
linalg_norm(inputA, inputB)
Arguments
inputA
First input vector
inputB
Second input vector. Must be of the same dimension as inputA.
Value
Returns the calculation results by squares of distances between two input values
Examples
a <- c(-3,-2,-1,3,3,2,3)
b <- c(-3,-2,-1,0,1,2,3)
linalg_norm(a,b) # = 3.605
fakmct documentation built on June 23, 2022, 1:06 a.m.
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View source: R/helpers_function.R
| linalg_norm | R Documentation |
Linear Algebra for Euclidean distance
Description
Linear Algebra for Euclidean distance
Usage
linalg_norm(inputA, inputB)
Arguments
inputA |
First input vector |
inputB |
Second input vector. Must be of the same dimension as inputA. |
Value
Returns the calculation results by squares of distances between two input values
Examples
a <- c(-3,-2,-1,3,3,2,3) b <- c(-3,-2,-1,0,1,2,3) linalg_norm(a,b) # = 3.605
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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