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: https://doi.org/10.1002/9780470061190.ch19

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

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• Item ORO ID
• 9627
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
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• Users 6898 not found.