best_acca | R Documentation |
Determining the optimal number of cluster in the ACCA clustering using the average silhouette approach.
best_acca(m, ...)
## S3 method for class 'cmatrix'
best_acca(m, mink, maxk, maxrep = 2L, maxiter = 100L, ...)
## S3 method for class 'matrix'
best_acca(m, mink, maxk, maxrep = 2L, maxiter = 100L, ...)
m |
[ |
... |
Not used. Included for S3 method consistency. |
mink |
[ |
maxk |
[ |
maxrep |
[ |
maxiter |
[ |
[list
]
A list
which is a list that has three elements:
silhouette.ave: The silhouettes average per k.
k: The sequence of clusters tested.
best.k: The optimal number of clusters.
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.
sil_acca
x <- corrp::corrp(iris)
m <- corrp::corr_matrix(x)
best_acca(m, 2, 6)
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