sil_acca | R Documentation |
A C++ implementation of the Silhouette method for interpreting and validating consistency within acca clusters of data.
sil_acca(acca, m, ...)
## S3 method for class 'acca_list'
sil_acca(acca, m, ...)
## S3 method for class 'list'
sil_acca(acca, m, ...)
acca |
[ |
m |
[ |
... |
Additional arguments. |
[numeric(1)
]
The average value of
the silhouette width across all data in the entire dataset.
Observations with a large average silhouette width (close to 1)
are very well clustered.
Igor D.S. Siciliani, Paulo H. dos Santos
Leonard Kaufman; Peter J. Rousseeuw (1990). Finding Groups in Data: An Introduction to Cluster Analysis. Hoboken, NJ: Wiley-Interscience. p. 87. doi:10.1002/9780470316801. ISBN 9780471878766.
Starczewski, Artur, and Adam Krzyżak. "Performance Evaluation of the Silhouette Index." International Conference on Artificial Intelligence and Soft Computing. Springer, Cham, 2015.
x <- corrp::corrp(iris)
m <- corrp::corr_matrix(x)
acca <- corrp::acca(m, 2)
sil_acca(acca, m)
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