Package flexclust

Detailed Description

Title:Flexible Cluster Algorithms Description:The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance/similarity measures and centroid computation. Further cluster methods include hard competitive learning, neural gas and QT clustering.

Author:Friedrich Leisch, parts based on code by Evgenia Dimitriadou Maintainer:Friedrich Leisch <Friedrich.Leisch@ci.tuwien.ac.at> Version:0.8-1 Built:R 2.2.1; i486-pc-linux-gnu; 2006-04-05 21:46:37; unix Date:2006-01-11 Depends:R, methods, modeltools LazyLoad:yes License:GPL version 2. Packaged:Wed Jan 11 13:52:45 2006; leisch Suggests:ellipse, clue, cluster

Nclus
Artificial Example with 4 Gaussians

Last ouput from Nclus(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: flexclust/Nclus/example.log

cclust
Convex Clustering

Last ouput from cclust(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: flexclust/cclust/example.log

info
Get Information on Fitted Flexclust Objects

Last ouput from info(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: flexclust/info/example.log

projAxes
Add Arrows for Projeted Axes to a Plot

Last ouput from projAxes(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: flexclust/projAxes/example.log

qtclust
QT Clustering

Last ouput from qtclust(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: flexclust/qtclust/example.log

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