optimalSlope: Estimates the optimal number of clusters using the Slope...
In anocva: A Non-Parametric Statistical Test to Compare Clustering Structures
Description
Usage
Arguments
Value
References
Description
Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists.
The optimal number of clusters will be verified in the range 2,..., maxClust.
Usage
1
optimalSlope(silStats, p = 1, maxClust)
Arguments
silStats
Silhouette statistics.
p
Slope adjust parameter.
maxClust
The max number of clusters to be tried.
Value
The optimal number of clusters.
References
Fujita A, Takahashi DY, Patriota AG (2014b) A non-parametric method to
estimate the number of clusters. Computational Statistics & Data Analysis 73:27–39
anocva documentation built on May 2, 2019, 1:44 p.m.
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Description Usage Arguments Value References
Description
Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists. The optimal number of clusters will be verified in the range 2,..., maxClust.
Usage
1 | optimalSlope(silStats, p = 1, maxClust)
|
Arguments
silStats |
Silhouette statistics. |
p |
Slope adjust parameter. |
maxClust |
The max number of clusters to be tried. |
Value
The optimal number of clusters.
References
Fujita A, Takahashi DY, Patriota AG (2014b) A non-parametric method to estimate the number of clusters. Computational Statistics & Data Analysis 73:27–39
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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