Wrapper for performing Model-Based Clustering from mclust::Mclust()
allowing noise or not.
Usage
mclust_clust(X, k, clusters_only = FALSE, ...)
rmclust_clust(X, k, clusters_only = FALSE, ...)
Value
If clusters_only is TRUE a vector of the new partition
of the data is returned, i.e a vector of integers (from 1:k)
indicating the cluster to which each observation is allocated.
0 indicates trimmed observations.
Otherwise a list is returned with the following components:
clust_method
the name of the clustering method, i.e "rimle".
clusters
the vector of the new partition of the data, i.e a vector of
integers (from 1:k) indicating the cluster to which each observation
is allocated.
0 indicates outlying observations for rmclust_clust() only.
...
an object of class "mclust"
Arguments
X
a numeric matrix or data frame of the data. It corresponds to the
argument data.
k
the number of clusters searched for. It corresponds to the argument
G of function mclust::Mclust().
clusters_only
boolean. If TRUE only the partition of the data
is returned as a vector. If FALSE the usual output of the
mclust::Mclust() function is returned.