parameters

parameters,kccasimple-method

object

&#8230;

<p>Returns the matrix of centroids of a fitted object of class <code>"kcca"</code>.</p>

cluster

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

Evgenia Dimitriadou

Bettina Gruen

parameters function

Get Centroids from KCCA Object — parameters

Get Centroids from KCCA Object

parameters: Get Centroids from KCCA Object

Description

Usage

Arguments