The heterogeneous cluster ensemble method using hubness for clustering text documents

Hou, Jun & Nayak, Richi (2013) The heterogeneous cluster ensemble method using hubness for clustering text documents. Lecture Notes in Computer Science [Web Information Systems Engineering - WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part I], 8180, pp. 102-110.

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Abstract

We propose a cluster ensemble method to map the corpus documents into the semantic space embedded in Wikipedia and group them using multiple types of feature space. A heterogeneous cluster ensemble is constructed with multiple types of relations i.e. document-term, document-concept and document-category. A final clustering solution is obtained by exploiting associations between document pairs and hubness of the documents. Empirical analysis with various real data sets reveals that the proposed meth-od outperforms state-of-the-art text clustering approaches.

Impact and interest:

4 citations in Scopus
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ID Code: 63173
Item Type: Journal Article
Refereed: Yes
Keywords: Text Clustering, Document Representation, Cluster Ensemble
DOI: 10.1007/978-3-642-41230-1_9
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Springer
Deposited On: 07 Oct 2013 22:32
Last Modified: 31 Oct 2014 12:43

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