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clues (version 0.3.2)

Clustering Method Based on Local Shrinking

Description

The package contains functions for automatically estimating the number of clusters and geting the final cluster partition without any input parameter except the stopping rule for convergence. The package also provides functions to evaluate and compare the performances of partitions of a data set both numerically and graphically.

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Version

Install

install.packages('clues')

Monthly Downloads

79

Version

0.3.2

License

GPL version 2 or newer

Maintainer

Fang Chang

Last Published

March 17th, 2009

Functions in clues (0.3.2)

clues

Clustering Method Based on Local Shrinking
shrinking

Data Sharpening Based on K-nearest Neighbors
Maronna

The Maronna Data Set
Curve

Curve Data Set
Get.Silhouette

Compute Silhouette Index
clustering

Data Clustering (After Data Shrinking)
plotClusters

Plot Scatter Plot of Clusters in a Specified Two Dimensional Space
adjustedRand

Calculate Agreement Indices Between Two Partitions for a Data Set
plotCurves

Plot Trajectories for Each Cluster
Ruspini

The Ruspini Data Set
Ring

The Broken-Ring Data Set
plotAvgCurves

Plot Average Trajectories for Each Cluster
Vowel

The Vowel Data Set
Get.CH

Compute CH Index
Iris

The Iris Data Set
compClust

Compare different partitions for a data set