Description Usage Arguments See Also Examples
This function takes a gama object and prints:
a sample of the original dataset used for clustering;
the cluster solution (partitions);
the centers of partitions;
the indices Average Silhouette Width (ASW), Calinski Harabasz (CH), C-Index (CI), Dunn index (DI).
1 2 |
x |
an object of type 'gama' generated by an appropriate call to the clustering algorithm. |
... |
other arguments that user may pass to the function. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## Not run:
# loads data about CPU execution metrics of a distributed
# version of Alternating Least Squares (ALS) algorithm
data(cpu.als)
# call the gama clustering algorithm
gamaObj <- gama(cpu.als, k = 4)
# call the print.gama function to detail the clustering results
# note: print.gama uses generic function concept, which allows a call to print, only.
print(gamaObj)
## End(Not run)
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