binarize.kMeans {BiTrinA} | R Documentation |
Binarizes a vector of real-valued data using the k-means clustering algorithm. The data is first split into 2 clusters.The values belonging to the cluster with the smaller centroid are set to 0, and the values belonging to the greater centroid are set to 1.
binarize.kMeans(vect, nstart=1, iter.max=10, dip.test=TRUE, na.rm=FALSE)
vect |
A real-valued vector to be binarized (at least 3 measurements). |
nstart |
The number of restarts for k-means. See |
iter.max |
The maximum number of iterations for k-means. See |
dip.test |
If set to |
na.rm |
If set to |
Returns an object of class BinarizationResult
.
kmeans
,
BinarizationResult
,
BoolNet
result <- binarize.kMeans(iris[,"Petal.Length"]) print(result) plot(result, twoDimensional=TRUE)