Cluster rows of a matrix-like object with a variety of algorithms.
A numeric matrix-like object where rows represent observations and columns represent variables.
A BlusterParam object specifying the algorithm to use.
Logical scalar indicating whether the full clustering statistics should be returned for each method.
This generic allows users to write agile code that can use a variety of clustering algorithms.
By simply changing
BLUSPARAM, we can tune the clustering procedure in analysis workflows and package functions.
By default, a factor of length equal to
nrow(x) containing cluster assignments for each row of
full=TRUE, a list is returned containing
clusters, a factor as described above;
objects, an arbitrary object containing algorithm-specific statistics or intermediate objects.
HclustParam, KmeansParam and NNGraphParam
for some examples of values for
1 2 3 4 5
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