imgEKMeans {biOps}R Documentation

Image clustering

Description

This function performs an unsupervised classification through the k-means algorithm. It is an enhanced implementation, that avoid some comparisons based on kept information about distances and centroids of previous iterations.

Usage

imgEKMeans (imgdata, k, maxit=10)

Arguments

imgdata The image
k Number of clusters
maxit Max number of iterations

Value

return an imagedata object, the result of the classification

See Also

imgKMeans imgKDKMeans imgIsoData

Examples

        ## Not run: 
                x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
                y <- imgEKMeans(x, 4)
        
## End(Not run)

[Package biOps version 0.2.1 Index]