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Computational Intelligence and Neuroscience
Volume 2016, Article ID 5139574, 11 pages
http://dx.doi.org/10.1155/2016/5139574
Research Article

On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study

Dipartimento di Ingegneria dell’Innovazione, Università del Salento, 73100 Lecce, Italy

Received 17 March 2016; Accepted 30 October 2016

Academic Editor: Jens Christian Claussen

Copyright © 2016 Massimo Pacella et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Massimo Pacella, Antonio Grieco, and Marzia Blaco, “On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 5139574, 11 pages, 2016. https://doi.org/10.1155/2016/5139574.