Using genetic algorithms in K-means fast learning artificial neural networks for clustering
Date of Issue2006
School of Computer Engineering
This research project studies the KFLANN in depth and introduces Genetic Algorithms (GAs) as a possible solution for searching through the parameter space to effectively and efficiently extract suitable values to d and ?. It is also able to determine significant features of the data that help achieve accurate clustering. A detailed analysis of KFLANN and its hybridization with a Genetic Algorithm is shown in this report.
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Nanyang Technological University