View source: R/kMeansThresholding.R
kMeansThresholding | R Documentation |
This function calculates thresholds by using k-Means clustering. The number of clusters is automatically derived by the Schwarz Bayesian criterion
kMeansThresholding(df, n.clust = NULL, G = 25, size.data = NULL, size.sample = 5000, seed = 123, iter.max = 5000)
df |
input data frame |
n.clust |
number of initial cluster (Default: NULL) |
G |
see |
size.data |
percentage of input data used in anaylsis. Default: NULL |
size.sample |
sample in initialization of |
seed |
set seed. Default: 123 |
iter.max |
number of iterlations in |
vector containing the cluster centers
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