dptmCpp

<p>A matrix of centroids, must have same ncol as pts</p>

myMeans

wgts

<p>A function that calculates a NxM matrix of distances between a NxP set of
points and a MxP set of points.</p>

Implements methods for clustering mixed-type data,
specifically combinations of continuous and nominal data. Special attention
is paid to the often-overlooked problem of equitably balancing the
contribution of the continuous and categorical variables. This package
implements KAMILA clustering, a novel method for clustering
mixed-type data in the spirit of k-means clustering. It does not require
dummy coding of variables, and is efficient enough to scale to rather large
data sets. Also implemented is Modha-Spangler clustering, which uses a
brute-force strategy to maximize the cluster separation simultaneously in the
continuous and categorical variables. For more information, see Foss, Markatou,
Ray, & Heching (2016) <doi:10.1007/s10994-016-5575-7> and Foss & Markatou
(2018) <doi:10.18637/jss.v083.i13>.

Alexander Foss

dptmCpp: Calculate distances from a set of points to a set of centroids

Description

Usage

Arguments

Value