FindDistm: Find the distance matrix from data.

In ADPclust: Fast Clustering Using Adaptive Density Peak Detection

Description

A wrapper of the dist() method, with the option to rescale the data with standard deviation of each dimension before calculating the distance matrix. NOTE: If fdelta='mnorm' is passed to adpclust(), then the distm is calculated from rescaled data internally, i.e. distm <- FindDistm(x, normalize = TRUE).

Usage

FindDistm(x, normalize = FALSE, method = "euclidean")

Arguments

x	data
normalize	boolean. Normalize data before calculating distance?
method	passed to 'dist()'

Value

distance matrix of class dist.

Author(s)

Ethan Xu

ADPclust documentation built on May 2, 2019, 9:23 a.m.