cluster.points: cluster points

In clusterpathRcpp: Fast agglomerative convex clustering, original Rcpp implementation

Description

Call this function with a matrix m and number of clusters k to run several clustering algorithms on the matrix.

Usage

cluster.points(m, k, ...)

Arguments

m
k
...

Value

A data frame with timings and guesses

Author(s)

Toby Dylan Hocking

Examples

iriSc <- scale(as.matrix(iris[,1:4]))
iclust <- cluster.points(iriSc,3,verbose=1)
splom(~iclust[1:4]|method,iclust,groups=guess)
table(iclust$guess,rep(iris$Species,nlevels(iclust$method)),iclust$method)

clusterpathRcpp documentation built on May 2, 2019, 5:26 p.m.