robustINIT: robustINIT
In RMBC: Robust Model Based Clustering
Description
Usage
Arguments
Value
Description
Robust Initializer for RMBC algorithm, it depends on the package ktaucenters
Usage
1
robustINIT(Y, K, nstart = 10)
Arguments
Y
A matrix of size n x p.
K
The number of groups
nstart
the number of starting points to the algorithm, defaults to 10
Value
A list including the initial parameters of the mixture distribution, namely
alphaINIT: K numeric values representing the convex combination coefficients.
muINIT: a list of length K with the location initial estimators.
sigmaINIT: a list of length K with the scatter matrix estimators.
indicesINIT: indices with initial clusters
RMBC documentation built on July 22, 2021, 9:07 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.
Description Usage Arguments Value
Description
Robust Initializer for RMBC algorithm, it depends on the package ktaucenters
Usage
1 | robustINIT(Y, K, nstart = 10)
|
Arguments
Y |
A matrix of size n x p. |
K |
The number of groups |
nstart |
the number of starting points to the algorithm, defaults to 10 |
Value
A list including the initial parameters of the mixture distribution, namely
alphaINIT: K numeric values representing the convex combination coefficients.muINIT: a list of length K with the location initial estimators.sigmaINIT: a list of length K with the scatter matrix estimators.indicesINIT: indices with initial clusters
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.