Fast Clustering Using Adaptive Density Peak Detection

---

Documentation for package ‘ADPclust’ version 0.7

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

Help Pages

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 genes)
defCol	Default colors
FindCentersAutoD	Automatically finds centers with diagonal f(x) vs delta(x) thresholds
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