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supc (version 0.2.6.2)

The Self-Updating Process Clustering Algorithms

Description

Implements the self-updating process clustering algorithms proposed in Shiu and Chen (2016) .

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Install

install.packages('supc')

Monthly Downloads

26

Version

0.2.6.2

License

GPL (>= 3)

Issues

1

Pull Requests

0

Stars

9

Forks

2

Maintainer

Wush Wu

Last Published

December 11th, 2021

Functions in supc (0.2.6.2)

supc1

Self-Updating Process Clustering
dist.mode

Configure which package is used to compute the distance matrix
freq.poly

Plot the frequency polygon of pairwise distance
freq.poly.supc

Plot the frequency polygon of pairwise distance
shape

The Artificial Data of Five Different Clusters
supc.random

Randomized Self-Updating Process Clustering
D31

The Artificial Data of Consisting of as Many as 31 Randomly Placed Gaussian Clusters
plot.supc

Draw plots of the clustering result
dist.parallelization

Configure how many cores will be used to calculate the distance matrix
golub

Gene expression dataset from Golub et al. (1999)