mixedSCORE: Membership estimation algorithm called mixedSCORE

In ScorePlus: Implementation of SCORE, SCORE+ and Mixed-SCORE

Description

Membership estimation algorithm called mixedSCORE

Usage

mixedSCORE(A, K, verbose = F)

Arguments

A	n-by-n binary symmtric adjacency matrix.
K	number of communities.
verbose	whether generate message

Value

A list containing

R

n-by-(K-1) ratio matrix.

L

Selected tunning parameter used for vertex hunting algorithm.

thetas

A vector of the estimated degree heterogeniety parameters

vertices

K-by-(K-1) K vertices of the found convex hull

centers

L-by-(K-1) L centers by kmeans

memberships

n-by-K membership matrix.

purity

A vector of maximum membership of each node

hard.cluster.labels

A vector of integers indicating hard clutering labels, by assigning the node to the cluster with max membership

Examples

library(igraphdata)
library(igraph)
data('karate')
A = get.adjacency(karate)
karate.mixed.out = mixedSCORE(A, 2)
karate.mixed.out$memberships

ScorePlus documentation built on June 14, 2019, 9:03 a.m.