l2norm: Calculate the L2 (Euclidean) norm of a vector
In 42n4/dmr.util: A package with utility functions used in the book Cichosz, P. (2015): Data Mining Algorithms: Explained Using R
Description
Usage
Arguments
Details
Value
Author(s)
Examples
View source: R/r-utility-l2norm.R
Description
This function calculates the L2 (Euclidean) norm of a numeric vector. It is used in examples presented in the book Cichosz, P. (2015): Data Mining Algorithms: Explained Using R. See Appendix B or http://www.wiley.com/go/data_mining_algorithms for more details.
Usage
1
l2norm(v)
Arguments
v
a numeric vector
Details
The L2 (Euclidean) norm is calculated as the square root of the
sum of squared vector elements.
Value
sqrt(sum(v^2))
Author(s)
Pawel Cichosz <p.cichosz@elka.pw.edu.pl>
Examples
1
2
42n4/dmr.util documentation built on May 20, 2019, 2:02 p.m.
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Description Usage Arguments Details Value Author(s) Examples
View source: R/r-utility-l2norm.R
Description
This function calculates the L2 (Euclidean) norm of a numeric vector. It is used in examples presented in the book Cichosz, P. (2015): Data Mining Algorithms: Explained Using R. See Appendix B or http://www.wiley.com/go/data_mining_algorithms for more details.
Usage
1 | l2norm(v)
|
Arguments
v |
a numeric vector |
Details
The L2 (Euclidean) norm is calculated as the square root of the sum of squared vector elements.
Value
sqrt(sum(v^2))
Author(s)
Pawel Cichosz <p.cichosz@elka.pw.edu.pl>
Examples
1 2 |
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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