A Cluster Analysis of Stock Market Data Using Hierarchical SOMs-Reference-Cited by-同舟云学术

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A Cluster Analysis of Stock Market Data Using Hierarchical SOMs

Published:2016 Issue: Volume: Page:101-112
ISSN:0302-9743
Container-title:AI 2016: Advances in Artificial Intelligence
language:
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Author:

Astudillo César A.,Poblete Jorge,Resta Marina,Oommen B. John

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-50127-7_8

Reference12 articles.

1. Astudillo, C.A., Oommen, B.J. On using adaptive binary search trees to enhance self organizing maps. In: Nicholson, A., Li, X. (eds.) 22nd Australasian Joint Conference on Artificial Intelligence (AI 2009), pp. 199–209 (2009)

2. Astudillo, C.A., Oommen, B.J.: Imposing tree-based topologies onto self organizing maps. Inform. Sci. 181(18), 3798–3815 (2011)

3. Astudillo, C.A., Oommen, B.J.: On achieving semi-supervised pattern recognition by utilizing tree-based SOMs. Pattern Recogn. 46(1), 293–304 (2013)

4. Astudillo, C.A., Oommen, B.J.: Topology-oriented self-organizing maps: a survey. Pattern Anal. Appl. (2014). http://dx.doi.org/10.1007/s10044-014-0367-9

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);CA Astudillo,2014

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1. Arabic Web page clustering: A review;Journal of King Saud University - Computer and Information Sciences;2019-01

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