Introduction
Theory, R functions & Examples
Section: Numerical classification
kmeans
- performs K-means clustering on raw data matrix (samples x species). The function is a bit not well documented, so the use requires attention. The first argument, x
, should be matrix (or data frame) of species composition, with samples in rows and species in columns. Argument centers
could be either integer (number of clusters) or a vector with cluster centres.