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 href="/link/prcomp?package=flexclust&version=1.3-3" rd-options="" data-mini-rdoc="flexclust::prcomp">prcomp</a></code>.

project

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.

Friedrich Leisch

flexclust

Flexible Cluster Algorithms

pairs-methods function

Methods for Function pairs in Package `flexclust'

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

Description

Usage

Arguments

Details