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In this paper we present a divisive MinMaxCut algorithm to which a mul- tilevel scheme, that is, coarsening, clustering and decoarsening, is applied. Our.
Multilevel algorithms [4, 1, 5, 7] have been used to boost the speed of graph partitioning algorithms. We combine these two algorithms to construct faster and ...
In this paper, we present an unweighted-graph version of a multilevel spectral algorithm in [16] which identifies more protein complexes with less computation ...
Multilevel algorithms [4, 1, 5, 7] have been used to boost the speed of graph partitioning algorithms. We combine these two algorithms to construct faster and ...
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In this work, we revisit the clustering approach, grouping together sub-sentential propositions, aiming at more precise information alignment. Specifically, our ...
This research presents a two phases heuristic neural network combined algorithmic approach to solve multiple depot routing problem with heterogeneous ...
Clustering is a difficult problem. Clustering data may differ by a vari- ety of aspects (dimensionality, cluster size, noise, etc), and the criterion.
Abstract. We propose a novel approach to the problem of multilevel clustering, which aims to simultane- ously partition data in each group and discover.
Jun 27, 2010 · Multilevel algorithms [4, 1, 5, 7] have been used to boost the speed of graph partitioning algorithms. We combine these two algorithms to ...
Suely Oliveira , Sang-Cheol Seok: A Multi-level Approach for Document Clustering. International Conference on Computational Science (1) 2005: 204-211.