clusterGeneration: Random Cluster Generation (with Specified Degree of Separation)
We developed the clusterGeneration package to provide functions
for generating random clusters, generating random
covariance/correlation matrices,
calculating a separation index (data and population version)
for pairs of clusters or cluster distributions, and 1-D and 2-D
projection plots to visualize clusters. The package also
contains a function to generate random clusters based on
factorial designs with factors such as degree of separation,
number of clusters, number of variables, number of noisy
variables.
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
corTest, DoubleML, FracKrigingR, GCEstim, IVPP, mlVAR, MultiNMix, MVSKmod, phytools, rEMM, skewMLRM, stats4teaching, stream, VisCov, xtdml |
| Reverse suggests: |
decorrelate, EMJMCMC, mmrm, mvnimpute, remaCor |
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