| 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 |