robustINIT: robustINIT
In jdgonzalezwork/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 location scatter matrix estimators.
indicesINIT: indices with initial clusters
jdgonzalezwork/RMBC documentation built on April 5, 2021, 2:55 p.m.
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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 location 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.
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