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flexclust (version 0.8-1)

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.

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Version

Install

install.packages('flexclust')

Monthly Downloads

9,003

Version

0.8-1

License

GPL version 2.

Maintainer

Friedrich Leisch

Last Published

February 28th, 2025

Functions in flexclust (0.8-1)

Nclus

Artificial Example with 4 Gaussians
plot-methods

Methods for Function plot in Package `flexclust'
parameters

Get Centroids from KCCA Object
kcca

K-Centroids Cluster Analysis
info

Get Information on Fitted Flexclust Objects
projAxes

Add Arrows for Projeted Axes to a Plot
dist2

Compute pairwise distances between two data sets
birth

Birth and Death Rates
barplot-methods

Methods for Function barplot in Package `flexclust'
distances

Distance and Centroid Computation
nutrient

Nutrients in Meat, Fish and Fowl
stepFlexclust

Run FlexClust Algorithms Repeatedly
predict-methods

Predict Cluster Membership
flexclustControl-class

Classes "flexclustControl" and "cclustControl"
milk

Milk of Mammals
image-methods

Methods for Function image in Package `flexclust'
achieve

Achievement Test Scores for New Haven Schools
pairs-methods

Methods for Function pairs in Package `flexclust'
conversion

Convert S3 Partition Objects to KCCA
cclust

Convex Clustering
dentitio

Dentition of Mammals
qtclust

QT Clustering