summary.adpclust

object with class "adpclust", return of adpclust()

object

other arguments. NOT used in theis version.


Summarizes results from adpclust function from the ADPclust package.


An implementation of ADPclust clustering procedures (Fast
Clustering Using Adaptive Density Peak Detection). The work is built and
improved upon Rodriguez and Laio[2014]'s idea. ADPclust clusters data by finding
density peaks in a density-distance plot generated from local multivariate
Gaussian density estimation. It includes an automatic centroids selection and
parameter optimization algorithm, which finds the number of clusters and cluster
centroids by comparing average silhouettes on a grid of testing clustering
results; It also includes an user interactive algorithm that allows the user
to manually selects cluster centroids from a two dimensional "density-distance
plot".

summary.adpclust: Summary of adpclust

Description

Usage

Arguments