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

flexclust (version 0.8-0)

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.

Copy Link

Version

Install

install.packages('flexclust')

Monthly Downloads

9,003

Version

0.8-0

License

GPL version 2.

Maintainer

Friedrich Leisch

Last Published

February 28th, 2025

Functions in flexclust (0.8-0)

parameters

Get Centroids from KCCA Object
conversion

Convert S3 Partition Objects to KCCA
dist2

Compute pairwise distances between two data sets
dentitio

Dentition of Mammals
milk

Milk of Mammals
qtclust

QT Clustering
flexclustControl-class

Classes "flexclustControl" and "cclustControl"
Nclus

Artificial Example with 4 Gaussians
kcca

K-Centroids Cluster Analysis
plot-methods

Methods for Function plot in Package `flexclust'
distances

Distance and Centroid Computation
birth

Birth and Death Rates
projAxes

Add Arrows for Projeted Axes to a Plot
pairs-methods

Methods for Function pairs in Package `flexclust'
barplot-methods

Methods for Function barplot in Package `flexclust'
cclust

Convex Clustering
predict-methods

Predict Cluster Membership
nutrient

Nutrients in Meat, Fish and Fowl
stepFlexclust

Run FlexClust Algorithms Repeatedly
image-methods

Methods for Function image in Package `flexclust'
info

Get Information on Fitted Flexclust Objects
achieve

Achievement Test Scores for New Haven Schools