About this document
SANTOS Et Al v.2 n.1 p.41 60 2019 by edendenis is a document available to read on EtoBox.
The document discusses a methodology called Aerotaxonomy for classifying military aircraft using data mining techniques such as k-means clustering and dendrogramming. It emphasizes the importance of Big Data and machine learning in modern engineering, particularly in aeronautics, to enhance aircraft design and classification. The authors propose a systematic approach to partition aircraft data into groups based on similarities, aiming to improve pre-design processes for new aircraft projects.
- Author
- edendenis
- Language
- EN