Using genetic algorithms in K-means fast learning artificial neural networks for clustering

Using genetic algorithms in K-means fast learning artificial neural networks for clustering

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 achiev...

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Bibliographic Details
Main Author: Yin, Xiang
Other Authors: Tay Leng Phuan
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/2560
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Institution: Nanyang Technological University
Description
Summary: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.

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