clustering_err: Clustering error rate
In kusakehan/CLEMM: Package for paper CLEMM:Clustering and Envelope Mixture Models

Description Usage Arguments Value Examples

View source: R/clustering_err.R

Calculate clustering error rate by using estimations

1	clustering_err(K, da, em_res, pi0, mu, Sigma, idx)

`da`	Data for clustering
`K`	Selected number of clusters
`em_res`	Results list returned by an EM algorithm
`pi0`	True mixing weights, if known
`mu`	True clusters centers, if known
`Sigma`	True clusters covariance, if known
`idx`	True clusters labels, if known

`cluster_err`	clustering error rate
`mean_err`	estimation error of clusters centers
`wt_err`	estimation error of clusters mixing weights
`cov_err`	estimation error of clusters covariance

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res_clemm = clemm_em(dat, K, u, iter=800, opts=opts, init=init)

clemm_err = clustering_err(K, dat, em_res=res_clemm, pi0=pi0, mu=da$mu, Sigma=da$Sigma, idx=idx)