R in a Nutshell

cluster

This package provides functions for cluster analysis.

Functions

Function	Description
agnes	Computes agglomerative hierarchical clustering of the data set.
bannerplot	Draws a “banner,” i.e., basically a horizontal barplot visualizing the (agglomerative or divisive) hierarchical clustering or an other binary dendrogram structure.
clara	Computes a "clara" object, a list representing a clustering of the data into k clusters.
clusplot	Draws a two-dimensional (2D) “clusplot” on the current graphics device.
coef.hclust	Computes the “agglomerative coefficient,” measuring the clustering structure of the data set.
daisy	Computes all the pairwise dissimilarities (distances) between observations in the data set.
diana	Computes a divisive hierarchical clustering of the data set, returning an object of class diana.
ellipsoidPoints	Computes points on the ellipsoid boundary, mostly for drawing.
ellipsoidhull	Computes the “ellipsoid hull” or “spanning ellipsoid,” i.e., the ellipsoid of minimal volume (“area” in 2D) such that all given points lie just inside or on the boundary of the ellipsoid.
fanny	Computes a fuzzy clustering of the data into k clusters.
lower.to.upper.tri.inds	Computes index vectors for extracting or reordering of lower or upper triangular matrices that are stored as contiguous vectors.
mona	Returns a list representing a divisive hierarchical clustering of a data set with binary variables only.
pam	Partitioning (clustering) of the data into k clusters “around medoids,” a more robust version of k