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tests/ssupervised.R
In Rmixmod: Classification with Mixture Modelling
library(Rmixmod)
data(iris)
data <- iris[, 1:4]
labels <- ifelse(iris[5] == "virginica", 3, ifelse(iris[5] == "versicolor", 2, 1))
rand <- sample(c(rep(1, each = 50), rep(0, each = 100)))
kl <- labels * rand
mixmodCluster(data, nbCluster = 3, knownLabels = kl)
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Rmixmod documentation built on Sept. 25, 2023, 5:08 p.m.
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library(Rmixmod)
data(iris)
data <- iris[, 1:4]
labels <- ifelse(iris[5] == "virginica", 3, ifelse(iris[5] == "versicolor", 2, 1))
rand <- sample(c(rep(1, each = 50), rep(0, each = 100)))
kl <- labels * rand
mixmodCluster(data, nbCluster = 3, knownLabels = kl)
Try the Rmixmod 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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