Learn R Programming

clues (version 0.6.2.2)

Clustering Method Based on Local

Description

We developed the clues R package to provide functions for automatically estimating the number of clusters and getting 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.

Copy Link

Version

Install

install.packages('clues')

Monthly Downloads

113

Version

0.6.2.2

License

GPL (>= 2)

Maintainer

Last Published

December 3rd, 2019

Functions in clues (0.6.2.2)

adjustedRand

Calculate Agreement Indices Between Two Partitions for a Data Set
get_Silhouette

Compute Silhouette Index
compClust

Compare different partitions for a data set
Vowel

The Vowel Data Set
plotCurves

Plot Trajectories for Each Cluster
plotClusters

Scatter Plots of Clusters in Specified Dimensions
summary.clues

Summary Method for CLUES Objects
plotAvgCurves

Average Trajectory Plot for Each Cluster
plot.clues

Draw Scatter Plots or Plot of Average Trajectory per Cluster, or Both
print.clues

Print Method for CLUES Objects
shrinking

Data Sharpening Based on K-nearest Neighbors
get_CH

Compute CH Index
clustering

Data Clustering (After Data Shrinking)
Maronna

The Maronna Data Set
Curve

Curve Data Set
clues

Clustering Method Based on Local Shrinking
Ring

The Broken-Ring Data Set