gRbase (version 2.0.3)

graph-mpd: Maximal prime subgraph decomposition

Description

Finding a junction tree representation of the MPD (maximal prime subgraph decomposition) of an undirected graph The maximal prime subgraph decomposition of a graph is the smallest subgraphs into which the graph can be decomposed.

Usage

mpd(object, tobject = minimal_triang(object), details = 0)
# S3 method for default
mpd(object, tobject = triangulate(object), details = 0)
mpdMAT(amat, tamat = minimal_triangMAT(amat), details = 0)

Value

A list with components "nodes", "cliques", "separators", "parents", "children", "nLevels". The component "cliques" defines the subgraphs.

Arguments

object

An undirected graph; an igraph or an adjacency matrix.

tobject

Any minimal triangulation of object; an igraph or an adjacency matrix.

details

The amount of details to be printed.

amat

An undirected graph; a symmetric adjacency matrix

tamat

Any minimal triangulation of object; a symmetric adjacency matrix

Author

Clive Bowsher with modifications by Søren Højsgaard,

References

Kristian G. Olesen and Anders L. Madsen (2002): Maximal Prime Subgraph Decomposition of Bayesian Networks. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS, PART B: CYBERNETICS, VOL. 32, NO. 1, FEBRUARY 2002

See Also

mcs, mcsMAT, minimal_triang, minimal_triangMAT, rip, ripMAT, triangulate, triangulateMAT

Examples

## Maximal prime subgraph decomposition 
g1 <- ug(~ a:b + b:c + c:d + d:e + e:f + a:f + b:e)
if (interactive()) plot(g1)
x <- mpd(g1)

## Maximal prime subgraph decomposition - an adjacency matrix
g1m <- ug(~ a:b + b:c + c:d + d:e + e:f + a:f + b:e, result="matrix")
x <- mpdMAT(g1m)