parameters

parameters,kccasimple-method

object

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<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

parameters function

Get Centroids from KCCA Object — parameters

Get Centroids from KCCA Object

parameters: Get Centroids from KCCA Object

Description

Usage

Arguments