AMISE

the number of variables (if y is missing), or a data frame or a matrix (if y is not missing).

the number of observations. If y is missing, x should be the data matrix.


Calculate the AMISE bandwidth from either a data frame, or from p and n.


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".

AMISE: AMISE bandwidth

Description

Usage

Arguments

Value

Details