diss.EUCL: Euclidean Distance
In TSclust: Time Series Clustering Utilities
diss.EUCL R Documentation
Euclidean Distance
Description
Computes Euclidean distance between time series.
Usage
diss.EUCL(x, y)
Arguments
x
Numeric vector containing the first of the two time series.
y
Numeric vector containing the second of the two time series.
Value
The computed distance.
See Also
diss, dist
Examples
## Create three sample time series
x <- cumsum(rnorm(100))
y <- cumsum(rnorm(100))
diss.EUCL(x, y)
TSclust documentation built on June 8, 2025, 11:05 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.
| diss.EUCL | R Documentation |
Euclidean Distance
Description
Computes Euclidean distance between time series.
Usage
diss.EUCL(x, y)
Arguments
x |
Numeric vector containing the first of the two time series. |
y |
Numeric vector containing the second of the two time series. |
Value
The computed distance.
See Also
diss, dist
Examples
## Create three sample time series
x <- cumsum(rnorm(100))
y <- cumsum(rnorm(100))
diss.EUCL(x, y)
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.