neighborsbis: neighbors tests whether neighbors of point k,P can be used to...

In rpatin/segclust2d: Bivariate Segmentation/Clustering Methods and Tools

neighbors tests whether neighbors of point k,P can be used to re-initialize the EM algorithm and to improve the log-likelihood.

Description

neighbors tests whether neighbors of point k,P can be used to re-initialize the EM algorithm and to improve the log-likelihood.

Usage

neighborsbis(
  kv.hull,
  x,
  L,
  k,
  param,
  P,
  lmin,
  eps,
  sameSigma = TRUE,
  pureR = FALSE
)

Arguments

kv.hull	convex hull of likelihood
x	the initial dataset
L	the likelihood
k	the points of interest
param	param outputs of segmentation
P	the number of class
lmin	minimal size of the segment to be implemented
eps	eps
sameSigma	should segments have same variance ?
pureR	should algorithm use only R functions or benefit from Rcpp faster algorithm

Value

smoothing likelihood

rpatin/segclust2d documentation built on April 29, 2024, 1:11 a.m.