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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
185
Version
0.2.6.2
License
GPL (>= 3)
Issues
1
Pull Requests
1
Stars
9
Forks
2
Repository
https://github.com/wush978/supc
Maintainer
Wush Wu
Last Published
December 11th, 2021
Functions in supc (0.2.6.2)
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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)