This virtual class represents a clustering model built by H2O.

This object has slots for the key, which is a character string that points to the model key existing in the H2O cluster, the data used to build the model (an object of class H2OFrame).

`model_id`

A

`character`

string specifying the key for the model fit in the H2O cluster's key-value store.`algorithm`

A

`character`

string specifying the algorithm that was used to fit the model.`parameters`

A

`list`

containing the parameter settings that were used to fit the model that differ from the defaults.`allparameters`

A

`list`

containing all parameters used to fit the model.`model`

A

`list`

containing the characteristics of the model returned by the algorithm.- size
The number of points in each cluster.

- totss
Total sum of squared error to grand mean.

- withinss
A vector of within-cluster sum of squared error.

- tot_withinss
Total within-cluster sum of squared error.

- betweenss
Between-cluster sum of squared error.

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