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CircularSilhouette (version 0.0.1)

Fast Silhouette on Circular or Linear Data Clusters

Description

Calculating silhouette information for clusters on circular or linear data using fast algorithms. These algorithms run in linear time on sorted data, in contrast to quadratic time by the definition of silhouette. When used together with the fast and optimal circular clustering method FOCC (Debnath & Song 2021) implemented in R package 'OptCirClust', circular silhouette can be maximized to find the optimal number of circular clusters; it can also be used to estimate the period of noisy periodical data.

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Version

Install

install.packages('CircularSilhouette')

Monthly Downloads

203

Version

0.0.1

License

LGPL (>= 3)

Maintainer

Joe Song

Last Published

April 27th, 2022

Functions in CircularSilhouette (0.0.1)

find.num.of.clusters

Finding an Optimal Number of Circular Data Clusters
estimate.period

Estimating the Period of Noisy Periodical Data
circular.sil

Calculating Silhouette on Circular Data Clusters
fast.sil

Calculating Silhouette on Linear Data Clusters