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:	https://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 Section
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/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID:	9627
Depositing User:	Users 6898 not found.
Date Deposited:	03 Oct 2007
Last Modified:	02 May 2018 12:48
URI:	http://oro.open.ac.uk/id/eprint/9627
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