Self-organising maps for tree view based hierarchical document clustering

Freeman, R., Yin, Hujin and Allinson, Nigel (2002) Self-organising maps for tree view based hierarchical document clustering. In: 2002 International Joint Conference on Neural Networks (IJCNN '02), 12-17 May 2002, Honolulu, HI; United States.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


In this paper we investigate the use of Self-Organising Maps (SOM) for document clustering. Previous methods using the SOM to cluster documents have used two-dimensional maps. This paper presents a hierarchical and growing method using a series of one-dimensional maps instead. Using this type of SOM is an efficient method for clustering documents and browsing them in a dynamically generated tree of topics. These topics are automatically discovered for each cluster, based on the set of document in a particular cluster. We demonstrate the efficiency of the method using different sets of real world web documents.

Keywords:Algorithms, Computer aided software engineering, Electronic document identification systems, Graphical user interfaces, Indexing (of information), Mathematical models, Statistical methods, Web browsers, Document clustering, Inverse Document Frequency, Parsing, Suffix stemming algorithm, Vector Space Model, Self organizing maps
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:8576
Deposited On:17 Apr 2013 13:58

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