Hybrid Clustering by Integrating Text and Citation based Graphs in Journal Database Analysis. 2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS
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Liu, XH; Yu, S; Moreau, Y; Janssens, F; De Moor, B; Glaenzel, W. 2009. Hybrid
Clustering by Integrating Text and Citation based Graphs in Journal Database
Analysis. 2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING
WORKSHOPS (ICDMW 2009): 521-526.
edited by Saygin, Y; Yu, JX; Kargupta, H; Wang, W; Ranka, S; Yu, PS; Wu,
XD.presented at 9th IEEE International Conference on Data Mining in Miami
Beach, FL, DEC 06-09, 2009.
Author Full Name(s): Liu, Xinhai; Yu, Shi; Moreau, Yves; Janssens, Frizo; De
Moor, Bart; Glaenzel, Wolfgang
Document Type: Proceedings Paper
Abstract: We propose a hybrid clustering strategy by integrating
heterogeneous information sources as graphs. The hybrid clustering method is
extended on the basis of modularity based Louvain method. We introduce two
different approaches, graph coupling and graph fusion. The weights of these
combined graphs are optimized with the criterion of maximizing the Average
Normalized Mutual Information(ANMI). The methods are applied to obtain
structural mapping of large scale Web of Science (WoS) journal database by
integrating attribute based textual information and relation based citation
information. From the experimental, the proposed graph combination scheme is
compared with individual graph clustering, spectral clustering and Vector Space
Model(VSM) based clustering methods.
Addresses: [Liu, Xinhai; Yu, Shi; Moreau, Yves; Janssens, Frizo; De Moor, Bart]
Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD, B-3001 Leuven, Belgium
Reprint Address: Liu, XH, Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD,
Kasteelpk Arenberg 10, B-3001 Leuven, Belgium.
E-mail Address: xinhai.liu at esat.kuleuven.be; shi.yu at esat.kuleuven.be;
yves.moreau at unistra.fr; frizo.janssens at unistra.fr; bart.demoor at unistra.fr;
Wolfgang.Glanzel at econ.kuleuven.ac.be
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