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Concept induction via fuzzy C-means clustering in a high-dimensional semantic space

Song, Dawei; Cao, Guihong; Bruza, Peter and Lau, Raymond (2007). Concept induction via fuzzy C-means clustering in a high-dimensional semantic space. In: de Oliveira, J. Valente and Pedrycz, W. eds. Advances in Fuzzy Clustering and its Applications. Chichester: WIley Interscience, pp. 393–403.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1002/9780470061190.ch19
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Abstract

This chapter contains sections titled:
Introduction
Constructing a High-dimensional Semantic Space via Hyperspace Analogue to Language
Fuzzy C-means Clustering
Word Clustering on a HAL Space - A Case Study
Conclusions and Future Work
Acknowledgement
References

Item Type: Book Chapter
ISBN: 0-470-02760-6, 978-0-470-02760-8
Keywords: hyperspace analog to language (HAL) model; latent semantic analysis (LSA); concept induction via fuzzy C-means clustering; fuzzy C-means clustering; Initialization 1; Initialization 2 for fuzzy C-means clustering; fuzzy C-means algorithm
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Item ID: 9627
Depositing User: Users 6898 not found.
Date Deposited: 03 Oct 2007
Last Modified: 22 Jun 2012 11:50
URI: http://oro.open.ac.uk/id/eprint/9627
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