neighborsbis {segclust2d} | R Documentation |
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
[Package segclust2d version 0.3.3 Index]