The Self-Updating Process Clustering Algorithms

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Documentation for package ‘supc’ version 0.2.6.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

D31	The Artificial Data of Consisting of as Many as 31 Randomly Placed Gaussian Clusters
dist.mode	Configure which package is used to compute the distance matrix
dist.parallelization	Configure how many cores will be used to calculate the distance matrix
freq.poly	Plot the frequency polygon of pairwise distance
freq.poly.default	Plot the frequency polygon of pairwise distance
freq.poly.dist	Plot the frequency polygon of pairwise distance
freq.poly.subclist	Plot the frequency polygon of pairwise distance
freq.poly.supc	Plot the frequency polygon of pairwise distance
golub	Gene expression dataset from Golub et al. (1999)
golub.supc	Gene expression dataset from Golub et al. (1999)
plot.supc	Draw plots of the clustering result
shape	The Artificial Data of Five Different Clusters
supc.random	Randomized Self-Updating Process Clustering
supc1	Self-Updating Process Clustering