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Concept Induction via Fuzzy C-means Clustering in a High-dimensional Semantic Space

Song, Dawei, Cao, Guihong, Bruza, Peter D., & Lau, Raymond (2007) Concept Induction via Fuzzy C-means Clustering in a High-dimensional Semantic Space. In Valente de Oliveira, J. & Pedrycz, W. (Eds.) Advances in Fuzzy Clustering and its Applications. John Wiley & Sons, Chichester, pp. 393-403.

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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

Impact and interest:

1 citations in Scopus
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ID Code: 15062
Item Type: Book Chapter
Additional Information: For more information about this book please refer to the publisher's website (see link) or contact the author.
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
DOI: 10.1002/9780470061190.ch19
ISBN: 9780470061190
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 John Wiley & Sons
Deposited On: 09 Oct 2008
Last Modified: 29 Feb 2012 23:36

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