reCluster | R Documentation |
kmeans
Use cluster centers from an initial clustering to initialize
kmeans
. This is still experimental,
and used to re-associated data rows to cluster centers from
a best clustering found by
flowclusterTimeseries
.
While the latter clustering works best to extract specific time-courses
from the data set, it often comes with a high fraction of badly
associated individual data sets. Re-clustering with
kmeans
seems to clean this up, e.g., the
phase distributions of re-clustered clusterings are often tighter.
TODO: allow to generate cluster centers from novel data, to
account for different/more data then during clustering!
reCluster(tset, cset, k, select = TRUE, ...)
tset |
the ‘timeseries’ object from segmenTier's
|
cset |
the ‘clustering’ object from segmenTier's
|
k |
colum name or index of the clustering that should be re-clustered; defaults to the pre-selected clustering if missing |
select |
use the re-clustered clustering as the new pre-selected clustering |
... |
parameters to |
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