| runKmeans {flowSpy} | R Documentation |
Perform k-means clustering on a data matrix.
runKmeans(
object,
k = 25,
iter.max = 10,
nstart = 1,
algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"),
trace = FALSE,
scale = FALSE,
verbose = FALSE,
...
)
object |
an FSPY object |
k |
numeric. The number of clusters. |
iter.max |
numeric. The maximum number of iterations allowed. |
nstart |
numeric. If k is a number, how many random sets should be chosen. |
algorithm |
character. Type of algorithm that will be choosen to calculate kmeans. Four algoritms are provided: Hartigan-Wong, Lloyd, Forgy, MacQueen. |
trace |
logical or integer number. |
scale |
logical. Whether to use scaled data in kmeans. |
verbose |
logical. Whether to print calculation progress. |
... |
Parameters passing to |
an FSPY object with kmeans.id in meta.data
if (FALSE) {
fspy <- runKmeans(fspy, k = 25, verbose = TRUE)
}