MixClusModel_homo-class: MixClusModel_homo objects
In MixCluster: MixCluster performs the clustering of mixed-type data sets (data sets with different natures of variables) with missing values.
Description
This class contains the elements of the homoscedastic mixture model of Gaussian copulas
- g
Class number
- nbparam
Number of parameters required by the model.
- loglike
Loglikelihood.
- icl
Loglikelihood.
- bic
Loglikelihood.
- challenge
Indicates the challenge: clustering, semi-supervized or supervized classification.
Examples
1
2
3
MixCluster documentation built on May 2, 2019, 5:49 p.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
This class contains the elements of the homoscedastic mixture model of Gaussian copulas
- g
Class number
- nbparam
Number of parameters required by the model.
- loglike
Loglikelihood.
- icl
Loglikelihood.
- bic
Loglikelihood.
- challenge
Indicates the challenge: clustering, semi-supervized or supervized classification.
Examples
1 2 3 |
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.