aggExCluster_euclidean: Method that runs the aggExcluster algorithm using the...
In Clustering: Techniques for Evaluating Clustering
aggExCluster_euclidean R Documentation
Method that runs the aggExcluster algorithm using the Euclidean metric to
make an external or internal validation of the cluster.
Description
Method that runs the aggExcluster algorithm using the Euclidean metric to
make an external or internal validation of the cluster.
Usage
aggExCluster_euclidean(dt, clusters, metric)
Arguments
dt
Matrix or data frame with the set of values to be applied to the
algorithm.
clusters
It's an integer that indexes the number of clusters we want to
create.
metric
It's a characters vector with the metrics avalaible in the
package. The metrics implemented are: Entropy, Variation_information,
Precision,Recall,F_measure,Fowlkes_mallows_index,Connectivity,Dunn,
Silhouette.
Value
Return a list with both the internal and external evaluation of the
grouping.
Clustering documentation built on June 22, 2022, 5:07 p.m.
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| aggExCluster_euclidean | R Documentation |
Method that runs the aggExcluster algorithm using the Euclidean metric to make an external or internal validation of the cluster.
Description
Method that runs the aggExcluster algorithm using the Euclidean metric to make an external or internal validation of the cluster.
Usage
aggExCluster_euclidean(dt, clusters, metric)
Arguments
dt |
Matrix or data frame with the set of values to be applied to the algorithm. |
clusters |
It's an integer that indexes the number of clusters we want to create. |
metric |
It's a characters vector with the metrics avalaible in the package. The metrics implemented are: Entropy, Variation_information, Precision,Recall,F_measure,Fowlkes_mallows_index,Connectivity,Dunn, Silhouette. |
Value
Return a list with both the internal and external evaluation of the grouping.
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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