gtmethod: aggregation methods for gtclust

In comeetie/gtclust: Hierarchal clustering of geographic or temporal object with contiguity constraints

aggregation methods for gtclust

Description

aggregation methods for gtclust

Usage

gtmethod_ward()

gtmethod_centroid()

gtmethod_median()

gtmethod_chisq()

gtmethod_bayes_mom(beta = 1, approx = FALSE)

gtmethod_bayes_dgmm(
  tau = 0.01,
  kappa = 1,
  beta = NaN,
  mu = as.matrix(NaN),
  approx = FALSE
)

gtmethod_bayes_dirichlet(lambda = as.matrix(NaN), approx = FALSE)

Arguments

beta	Prior parameter (gamma rate), (default to NaN, in this case beta will be estimated from data as 0.1 time the mean of X columns variances)
tau	Prior parameter (inverse variance), (default 0.01)
kappa	Prior parameter (gamma shape), (default to 1)
mu	Prior for the means (vector of size D), (default to NaN, in this case mu will be estimated from data as the mean of X)
lambda	Prior parameter (inverse variance), (default 0.01)

Value

An object of class gtmethod

Functions

• gtmethod_ward: classical ward method

• gtmethod_centroid: classical centroid method

• gtmethod_median: classical median method

• gtmethod_chisq: chi-square method

• gtmethod_bayes_mom: bayesian mixture of multinomials

• gtmethod_bayes_dgmm: bayesian diagonal gaussian mixture model

• gtmethod_bayes_dirichlet: bayesian diagonal gaussian mixture model

comeetie/gtclust documentation built on Sept. 17, 2024, 12:45 a.m.