@inproceedings{1d5daa1d28754c0b8b7cedad09d578c8,
title = "A clustering algorithm using Particle Swarm Optimization for DNA chip data analysis",
abstract = "As DNA chips are becoming increasingly popular as a convenient way to perform vast amounts of experiments related to genes on a single chip, the importance of analyzing the data that is provided by such DNA chips is becoming significant. A very important analysis on DNA chip data would be clustering genes to identify gene groups which have similar properties. Clustering data for DNA chips usually deal with a large search space and has a very fuzzy characteristic. This task can be achieved by applying a clustering technique that mimics the biological world. One such algorithm is the Particle Swarm Optimization algorithm which was recently proposed as a very good candidate to solve such problems. In this paper, we propose a clustering mechanism that is based on the Particle Swarm Optimization algorithm. Our experiments show that the PSO-based clustering algorithm developed can efficiently cluster DNA chip data, and thus be used to extract valuable information from DNA chip data in an accurate yet timely manner.",
keywords = "Clustering, DNA chip, Particle Swarm Optimization",
author = "Minsoo Lee and Yoonkyoung Lee and Boyeon Meang and Okju Choi",
year = "2009",
doi = "10.1145/1516241.1516358",
language = "English",
isbn = "9781605584058",
series = "Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09",
pages = "664--668",
booktitle = "Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09",
note = "null ; Conference date: 15-01-2009 Through 16-01-2009",
}