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Improved SOM Clustering for Software Component Catalogue

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Advances in Neural Networks – ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

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Abstract

The faceted catalogue is one of most popular methods among software component catalogues. However, the traditional faceted catalogue needs experts to establish and maintain glossary. To solve the problem, SOM clustering is applied in software catalogue to automatically form the glossary. By the improved SOM clustering, faceted descript values are clustered and the centers are taken as faceted terms. In SOM algorithms, distances of components are reduced or extended according to component connectors. So the components in this catalogue are not isolated but have relations with each other. And the problem that clustering result is disturbed by the input order, is also solved in the improved SOM clustering.

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Author information

Authors and Affiliations

  1. Computer Science and Technology College, Harbin Engineering University, P.R.China, 150001

    Zhuo Wang, Daxin Liu & Xiaoning Feng

Authors
  1. Zhuo Wang
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  2. Daxin Liu
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  3. Xiaoning Feng
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Wang, Z., Liu, D., Feng, X. (2004). Improved SOM Clustering for Software Component Catalogue. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_139

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

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