markovClust: Markov clustering function

In tomis9/markovClust:

Description

Markov clustering function algorithm

Usage

markovClust(M, inflation = 2.5, expansion = 2, e_stop = 0.001,
  max_it = 100)

Arguments

M	adjacency matrix
inflation	inflation parameter
expansion	expansion parameter
max_it	maximum number of iterations
eStop	stop criterium - Frobenius norm of matrix M_t - M_t-1

Examples

A <- rbind(c(1, 1, 0, 1, 0, 1, 0),
           c(1, 1, 1, 1, 0, 0, 0),
           c(0, 1, 1, 1, 0, 0, 1),
           c(1, 1, 1, 1, 1, 0, 0),
           c(0, 0, 0, 1, 1, 1, 1),
           c(1, 0, 0, 0, 1, 1, 1),
           c(0, 0, 1, 0, 1, 1, 1))
markovClust(A)

tomis9/markovClust documentation built on May 12, 2019, 7:45 a.m.