AEROTAXONOMY

Authors

  • Eden Denis Ferreira da Silva Lopes Santos Federal University of ABC (UFABC)
  • Carlos Alberto Rocha Pimentel Federal University of ABC (UFABC)
  • Aguinaldo Prandini Ricieri Technological Institute of Aeronautics (ITA)

Keywords:

Aircraft Taxonomy, Aircraft Classification for Pre-design, Aircraft Big Data, Dendrogram, k-means, Python, Artificial Intelligence

Abstract

This work aims to classify military aircraft into possible groups, each of which must contain aircraft with some categorical similarity according to an Euclidean Distance Function, evolutionary allegory between the various types of aircrafts. This is a Numerical Taxonomy or Computational Analysis of Clustering/Data Mining, for this we choose priori, the total number of K groups that will dendrogram the aircraft of low, medium, high efficiency in one feature; which could serve as an Informational Input for new aircraft pre-projects.

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Published

2019-06-10

How to Cite

Santos, E. D. F. da S. L., Pimentel, C. A. R., & Ricieri, A. P. (2019). AEROTAXONOMY. Journal of Production and Automation (JPAUT) ISSN 2595-9573, 2(1), 41–60. Retrieved from https://jpaut.com.br/index.php/jpaut/article/view/24