Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2560
Title: Using genetic algorithms in K-means fast learning artificial neural networks for clustering
Authors: Yin, Xiang
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2006
Source: Yin, X. (2006). Using genetic algorithms in K-means fast learning artificial neural networks for clustering. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/2560
DOI: 10.32657/10356/2560
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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