KernSeg_MultiD: KernSeg MultiD

In KernSeg: Kernel Based Segmentation

Description

Function to run the dynamic programing with kernels (md case)

Usage

KernSeg_MultiD(geno, Kmax, delta = 1, min.size = 1, 
    alpha = NULL, kernel = "Gaussian", option = 0)

Arguments

geno	an n x m matrix to be segmented with n the length of the signal
Kmax	the maximum number of breaks
delta	parameter of the kernel (delta.cn, delta.baf)
min.size	minimum size of a segment -1 (1 = no constraint 2 = at least 2)
alpha	some additionnal parameter for the kernel
kernel	kernel ("Gaussian", "L2")
option	for KernSeg like Mattesson Divergence or Mattesson like Kernseg (n or n-1)

Value

return a list with J.est : a vector with the loss as a function of K) and t.est : a matrix with the position of the changes

Author(s)

Guillem Rigaill

KernSeg documentation built on May 2, 2019, 5:26 p.m.