pairs,kcca-method

pairs,kccasimple-method

Index numbers of dimensions of (projected) input space
    to plot, default is to plot all dimensions.

which

Projection object for which a <code>predict</code> method
    exists, e.g., the result of <code><a rd-options="" href="/link/prcomp?package=flexclust&version=1.3-4" data-mini-rdoc="flexclust::prcomp">prcomp</a></code>.

project


  Plot a matrix of neighbourhood graphs.


methods

hplot

pairs-methods

The main function kcca implements a general framework for
k-centroids cluster analysis supporting arbitrary distance
measures and centroid computation. Further cluster methods
include hard competitive learning, neural gas, and QT
clustering. There are numerous visualization methods for
cluster results (neighborhood graphs, convex cluster hulls,
barcharts of centroids, ...), and bootstrap methods for the
analysis of cluster stability.

pairs-methods: Methods for Function pairs in Package `flexclust'

Description

Usage

Arguments

Details