Dataset with training data. The data is obtained from running the clustering algorithm with the basketball dataset. Of all the packages we use the clusterr package and all the metrics. The number of clusters is between 3 and 4.

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It is a `clustering`

object:

This dataset contains the information to run the clustering algorithm. The parameters are as follows:

- result
It is a list with the algorithms, metrics and variables defined in the execution of the algorithm

- hasInternalMetrics
Boolean field to indicate if there are internal metrics such as: dunn, silhoutte and connectivity

- hasExternalMetrics
Boolean field to indicate if there are external metrics such as: precision, recall, f-measure, entropy, variation information and fowlkes-mallows

- algorithms_execute
Character vector with the algorithms executed. These algorithms have been mentioned in the definition of the parameters

- measures_execute
Character vector with the measures executed. These measures have been mentioned in the definition of the parameters

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