Man pages for ADPclust
Fast Clustering Using Adaptive Density Peak Detection
| adpclust | Fast Clustering Using Adaptive Density Peak Detection |
| AMISE | AMISE bandwidth |
| clust10 | 1000 5-dimensional data points that form ten clusters |
| clust3 | 90 2-dimensional data points that form three clusters |
| clust5 | 500 5-dimensional data points that form five clusters |
| clust5.1 | 500 5-dimensional data points that form five clusters |
| dat_gene | 243-dimensional gene expression data of 38 patients (243... |
| defCol | Default colors |
| FindCentersAutoD | Automatically finds centers with diagonal f(x) vs delta(x)... |
| FindCentersAutoV | Automatically find centers with vertical threshold |
| FindClustersAuto | Automatically find cluster assignment given f and delta. |
| FindClustersGivenCenters | Find cluster assignments given centers and distance matrix |
| FindClustersManual | User-interactive routine to find clusters |
| FindDistm | Find the distance matrix from data. |
| FindFD | Find f and delta from distance matrix. |
| FindH | Find bandwidth h. |
| plot.adpclust | Visualize the result of adpclust() |
| ROT | Calculate ROT bandwidth |
| summary.adpclust | Summary of adpclust |
