Learn R Programming

⚠️There's a newer version (1.5.0) of this package.Take me there.

flexclust (version 1.3-3)

Flexible Cluster Algorithms

Description

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.

Copy Link

Version

Install

install.packages('flexclust')

Monthly Downloads

7,187

Version

1.3-3

License

GPL-2

Maintainer

Friedrich Leisch

Last Published

July 10th, 2012

Functions in flexclust (1.3-3)

Artificial Example with 4 Gaussians

Cluster Similarity Matrix

Flexclust Color Palettes

Plot a Random Tour

Dentition of Mammals

Bootstrap Flexclust Algorithms

Milk of Mammals

Barchart for Proportions of Apriori Segments in Binary Data Matrix

Cluster shadows and silhouettes

Methods for Function pairs in Package `flexclust'

German Parliament Election Data

predict-methods

Predict Cluster Membership

flexclustControl-class

Classes "flexclustControl" and "cclustControl"

Nutrients in Meat, Fish and Fowl

Distance and Centroid Computation

Compute pairwise distances between two data sets

Stochastic QT Clustering

Achievement Test Scores for New Haven Schools

Get Centroids from KCCA Object

Methods for Function plot in Package `flexclust'

Birth and Death Rates

barplot-methods

Barplot/chart Methods in Package `flexclust'

Methods for Function image in Package `flexclust'

Add Arrows for Projected Axes to a Plot

Run Flexclust Algorithms Repeatedly

K-Centroids Cluster Analysis

Conversion Between S3 Partition Objects and KCCA

Convex Clustering

Get Information on Fitted Flexclust Objects