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 |
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