Nothing

```
#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
setMethod("prune", signature(x = "EMM"),
function(x,
count_threshold,
clusters = TRUE,
transitions = FALSE,
copy = TRUE,
compact = TRUE) {
if (copy)
x <- copy(x)
if (clusters && nclusters(x) > 0)
x <- remove_clusters(x,
rare_clusters(x, count_threshold = count_threshold),
copy = FALSE)
if (transitions && ntransitions(x) > 0)
x <- remove_transitions(x,
rare_transitions(x, count_threshold = count_threshold),
copy = FALSE)
if (compact)
x <- compact(x)
if (copy)
x
else
invisible(x)
})
```

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