K-means is the process of assigning objects to groups so that the sum of the squares of the groups is minimized. R has the kmeans function available for cluster analysis. K-means is a method of determining clusters based on partitioning the data and assigning items in the dataset to the nearest cluster.

K-means clustering is done in R using the kmeans function. The kmeans function is defined as follows:

kmeans(x, centers, iter.max = 10, nstart = 1,
   algorithm = c("Hartigan-Wong", "Lloyd", "Forgy","MacQueen"), trace=FALSE)

The various parameters of this function are described in the following table: