README.md
In pangoria/clusterEstimation: Estimating Cluster with Gabriel Cross Validation
clusterEstimation
'clusterEstimation' is a package that implements Fu and Perry's 2020 algorithm
for estimating the number of clusters within a data set using Gabriel
cross-validation. The premise of the function 'ClusterCV' is to determine
the number of cluster with the smallest cross-validation error. This algorithm
includes the option to use an un-adjusted or adjusted estimation of the number
of clusters. The unadjusted method can be used to correct the overestimation of
the number of clusters when correlation between dimensions is high. 'ClusterCV'
function also provides the option to apply either k-means or spectral clustering
methods within the estimation algorithm.
Installation
devtools::install_github("pangoria/clusterEstimation")
pangoria/clusterEstimation documentation built on Dec. 22, 2021, 6:39 a.m.
R Package Documentation
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clusterEstimation
'clusterEstimation' is a package that implements Fu and Perry's 2020 algorithm for estimating the number of clusters within a data set using Gabriel cross-validation. The premise of the function 'ClusterCV' is to determine the number of cluster with the smallest cross-validation error. This algorithm includes the option to use an un-adjusted or adjusted estimation of the number of clusters. The unadjusted method can be used to correct the overestimation of the number of clusters when correlation between dimensions is high. 'ClusterCV' function also provides the option to apply either k-means or spectral clustering methods within the estimation algorithm.
Installation
devtools::install_github("pangoria/clusterEstimation")
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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