This virtual class represents a clustering model built by H2O.

`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.

Total sum of squared error to grand mean.

A vector of within-cluster sum of squared error.

Total within-cluster sum of squared error.

Between-cluster sum of squared error.

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).