# The Self-Updating Process Clustering Algorithms

## Documentation for package ‘supc’ version 0.2.2

- 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