compute.kclust2 {sClust} | R Documentation |
K clust compute selection V2
Description
Function which select the number of cluster to compute thanks to a selected method
Usage
compute.kclust2(
eigenValues,
method = "default",
Kmax = 20,
tolerence = 1,
threshold = 0.9,
verbose = FALSE
)
Arguments
eigenValues |
The eigenvalues of the laplacian matrix. |
method |
The method that will be used. "default" to let the function choose the most suitable method. "PEV" for the Principal EigenValue method. "GAP" for the GAP method. |
Kmax |
The maximum number of cluster which is allowed. |
tolerence |
The tolerance allowed for the Principal EigenValue method. |
threshold |
The threshold to select the dominant eigenvalue for the GAP method. |
verbose |
To output the verbose in the terminal. |
Value
a vector which contain the number of cluster to compute.
Author(s)
Emilie Poisson Caillault and Erwan Vincent
[Package sClust version 1.0 Index]