Gmean_simultanee: Gmean_simultanee calculates the cost matrix for a...
In segclust2d: Bivariate Segmentation/Clustering Methods and Tools
View source: R/segTraj_Gmean_simultanee.R
Gmean_simultanee R Documentation
Gmean_simultanee calculates the cost matrix for a segmentation model with
changes in the mean and variance for all signals
Description
Gmean_simultanee calculates the cost matrix for a segmentation model with
changes in the mean and variance for all signals
Usage
Gmean_simultanee(Don, lmin, sameVar = FALSE)
Arguments
Don
the bivariate signal
lmin
minimum size for a segment, default value is 2
sameVar
whether variance is the same for each segment.
Value
the cost matrix G(i,j) which contains the variance of the data
between point (i+1) to point j
segclust2d documentation built on May 29, 2024, 6:41 a.m.
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View source: R/segTraj_Gmean_simultanee.R
| Gmean_simultanee | R Documentation |
Gmean_simultanee calculates the cost matrix for a segmentation model with changes in the mean and variance for all signals
Description
Gmean_simultanee calculates the cost matrix for a segmentation model with changes in the mean and variance for all signals
Usage
Gmean_simultanee(Don, lmin, sameVar = FALSE)
Arguments
Don |
the bivariate signal |
lmin |
minimum size for a segment, default value is 2 |
sameVar |
whether variance is the same for each segment. |
Value
the cost matrix G(i,j) which contains the variance of the data between point (i+1) to point j
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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