kmeansClust | R Documentation |
Performs K-Means clustering across sections in a SummarizedExperiment
object.
kmeansClust(object, centers, matrix = "normalized", ...)
object |
A |
centers |
Integer, number of clusters, namely k. |
matrix |
Character, must be one of |
... |
other parameters passed to |
A SummarizedExperiment
object. The obtained cluster labels are saved in slot meta
.
kmeans
for performing K-Means clustering on a matrix.
data(zh.data) zh <- createTomo(zh.data) zh <- kmeansClust(zh, 3) # Use scaled read counts to calculate distance zh <- scaleTomo(zh) zh <- kmeansClust(zh, 3, matrix="scaled")
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