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demo/shortem.r
In EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
library(EMCluster, quiet = TRUE)
set.seed(1234)
x2 <- da2$da
emobj <- list(pi = da2$pi, Mu = da2$Mu, LTSigma = da2$LTSigma)
ret.2 <- shortemcluster(x2, emobj, maxiter = 100, eps = 1e-2)
summary(ret.2)
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EMCluster documentation built on Sept. 8, 2023, 5:55 p.m.
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library(EMCluster, quiet = TRUE)
set.seed(1234)
x2 <- da2$da
emobj <- list(pi = da2$pi, Mu = da2$Mu, LTSigma = da2$LTSigma)
ret.2 <- shortemcluster(x2, emobj, maxiter = 100, eps = 1e-2)
summary(ret.2)
Try the EMCluster package in your browser
Any scripts or data that you put into this service are public.
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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