Description Usage Arguments Details Value Author(s) References Examples
Estimate of k-means bootstrapping stability
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x |
a |
k |
a |
B |
number of bootstrap re-samplings |
r |
number of runs of k-means |
scheme_2 |
|
This function estimates the clustering stability through bootstrapping approach. Two schemes are provided. Scheme 1 uses the clustering of the original data as the reference for stability calculations. Scheme 2 searches acrossthe clustering samples that gives the most stable clustering.
membership
a vector
of membership for each observation from the reference clustering
obs_wise
vector
of estimated observation-wise stability
overall
numeric
estimated overall stability
Han Yu
Bootstrapping estimates of stability for clusters, observations and model selection. Han Yu, Brian Chapman, Arianna DiFlorio, Ellen Eischen, David Gotz, Matthews Jacob and Rachael Hageman Blair.
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