## Abstract

The graph partitioning problem is to partition the vertex set of a graph into a number of nonempty subsets so that the total weight of edges connecting distinct subsets is minimized. Previous research requires the input of cardinalities of subsets or the number of subsets for equipartition. In this paper, the problem is formulated as a zero-one quadratic programming problem without the input of cardinalities. We also present three equivalent zero-one linear integer programming reformulations. Because of its importance in data biclustering, the bipartite graph partitioning is also studied. Several new methods to determine the number of subsets and the cardinalities are presented for practical applications. In addition, hierarchy partitioning and partitioning of bipartite graphs without reordering one vertex set, are studied.

Original language | English (US) |
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Pages (from-to) | 57-71 |

Number of pages | 15 |

Journal | Journal of Global Optimization |

Volume | 48 |

Issue number | 1 |

DOIs | |

State | Published - Sep 2010 |

## Keywords

- Bipartite graph partitioning
- Graph partitioning
- Linear programming
- Quadratic programming

## ASJC Scopus subject areas

- Control and Optimization
- Applied Mathematics
- Business, Management and Accounting (miscellaneous)
- Computer Science Applications
- Management Science and Operations Research