Multidimensional Data Visualization-Reference-Cited by-同舟云学术

Multidimensional Data Visualization

Published:2015 Issue: Volume: Page:1600-1610
ISSN:
Container-title:Encyclopedia of Information Science and Technology, Third Edition
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Author:

Eidenzon Dmitri¹,Pilipczuk Olga²

Affiliation:

1. NovoSpark Corporation, Canada

2. University of Szczecin, Poland

Abstract

Publisher

IGI Global

Reference31 articles.

1. Dynamic self-organizing maps with controlled growth for knowledge discovery

2. Amarasiri, R., Alahakoon, D., Smith, K., & Premaratne, M. (2005). HDGSOMr: a high dimensional growing self-organizing map using randomness for efficient web and text mining. In Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (pp. 215–221).

3. Blackmore, J., & Miikkulainen, R. (1995). Visualizing high-dimensional structure with the incremental grid growing neural network. In Proceedings of 12th International Conference on Machine Learning, (pp. 55-63), San Francisco. Retrieved from citeseer.ist.psu.edu/blackmore95visualizing.html.

4. Buschmann, S., Nocke, T., & Tominski, C. (2013). Towards visualizing geo-referenced climate networks. Workshop GeoViz Interactive Maps that Help People Think. Hamburg, Germany. Retreived from http://www.informatik.uni-rostock.de/~ct/

5. Cao, H., & Yichuan, S. (2010). A multi-perspective and interactive method for multidimensional data visualization. International Conference on Environmental Science and Information Application Technology (ESIAT), 3, 207 – 210.

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