parameters

parameters,kccasimple-method

object

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

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.

parameters: Get Centroids from KCCA Object

Description

Usage

Arguments