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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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
id sg-ntu-dr.10356-2560
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spelling sg-ntu-dr.10356-25602023-03-04T00:38:33Z Using genetic algorithms in K-means fast learning artificial neural networks for clustering Yin, Xiang Tay Leng Phuan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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. MASTER OF ENGINEERING (SCE) 2008-09-17T09:05:25Z 2008-09-17T09:05:25Z 2006 2006 Thesis Yin, X. (2006). Using genetic algorithms in K-means fast learning artificial neural networks for clustering. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2560 10.32657/10356/2560 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Yin, Xiang
Using genetic algorithms in K-means fast learning artificial neural networks for clustering
description 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.
author2 Tay Leng Phuan
author_facet Tay Leng Phuan
Yin, Xiang
format Theses and Dissertations
author Yin, Xiang
author_sort Yin, Xiang
title Using genetic algorithms in K-means fast learning artificial neural networks for clustering
title_short Using genetic algorithms in K-means fast learning artificial neural networks for clustering
title_full Using genetic algorithms in K-means fast learning artificial neural networks for clustering
title_fullStr Using genetic algorithms in K-means fast learning artificial neural networks for clustering
title_full_unstemmed Using genetic algorithms in K-means fast learning artificial neural networks for clustering
title_sort using genetic algorithms in k-means fast learning artificial neural networks for clustering
publishDate 2008
url https://hdl.handle.net/10356/2560
_version_ 1759855449842122752

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