Multi-objective optimization for clustering microarray gene expression data - a comparative study

Muhammad Marwan Muhammad Fuad

doi:10.1007/978-3-319-19728-9_10

Multi-objective optimization for clustering microarray gene expression data - a comparative study

Muhammad Marwan Muhammad Fuad

University of Tromsø

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

3 Citations (Scopus)

Abstract

Clustering is one of the main data mining tasks. It can be performed on a fuzzy or a crisp basis. Fuzzy clustering is widely-applied with microarray gene expression data as these data are usually uncertain and imprecise. There are several measures to evaluate the quality of clustering, but their performance is highly related to the dataset to which they are applied. In a previous work the authors proposed using a multi-objective genetic algorithm – based method, NSGA – II, to optimize two clustering validity measures simultaneously. In this paper we use another multi-objective optimizer, NSPSO, which is based on the particle swarm optimization algorithm, to solve the same problem. The experiments we conducted on two microarray gene expression data show that NSPSO is superior to NSGA-II in handling this problem.

Original language	English
Title of host publication	Agent and Multi-Agent Systems
Subtitle of host publication	Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings
Editors	Lakhmi C. Jain, Gordan Jezic, Robert J. Howlett
Publisher	SpringerOpen
Pages	123-133
Number of pages	11
ISBN (Electronic)	9783319197289
ISBN (Print)	9783319197272
DOIs	https://doi.org/10.1007/978-3-319-19728-9_10
Publication status	Published - 1 Jan 2015
Externally published	Yes
Event	9th KES International Conference on Agent and Multi-Agent Systems-Technologies and Applications - Sorrento, Italy Duration: 17 Jun 2015 → 19 Jun 2015 Conference number: 9th

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	38
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	9th KES International Conference on Agent and Multi-Agent Systems-Technologies and Applications
Abbreviated title	KES-AMSTA 2015
Country/Territory	Italy
City	Sorrento
Period	17/06/15 → 19/06/15

Keywords

Clustering
Microarray gene expression data
Multi-objective optimization

ASJC Scopus subject areas

General Decision Sciences
General Computer Science

Access to Document

10.1007/978-3-319-19728-9_10

Cite this

Muhammad Fuad, M. M. (2015). Multi-objective optimization for clustering microarray gene expression data - a comparative study. In L. C. Jain, G. Jezic, & R. J. Howlett (Eds.), Agent and Multi-Agent Systems: Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings (pp. 123-133). (Smart Innovation, Systems and Technologies; Vol. 38). SpringerOpen. https://doi.org/10.1007/978-3-319-19728-9_10

Multi-objective optimization for clustering microarray gene expression data - a comparative study. / Muhammad Fuad, Muhammad Marwan.
Agent and Multi-Agent Systems: Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings. ed. / Lakhmi C. Jain; Gordan Jezic; Robert J. Howlett. SpringerOpen, 2015. p. 123-133 (Smart Innovation, Systems and Technologies; Vol. 38).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Muhammad Fuad, MM 2015, Multi-objective optimization for clustering microarray gene expression data - a comparative study. in LC Jain, G Jezic & RJ Howlett (eds), Agent and Multi-Agent Systems: Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings. Smart Innovation, Systems and Technologies, vol. 38, SpringerOpen, pp. 123-133, 9th KES International Conference on Agent and Multi-Agent Systems-Technologies and Applications , Sorrento, Italy, 17/06/15. https://doi.org/10.1007/978-3-319-19728-9_10

Muhammad Fuad MM. Multi-objective optimization for clustering microarray gene expression data - a comparative study. In Jain LC, Jezic G, Howlett RJ, editors, Agent and Multi-Agent Systems: Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings. SpringerOpen. 2015. p. 123-133. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-319-19728-9_10

Muhammad Fuad, Muhammad Marwan. / Multi-objective optimization for clustering microarray gene expression data - a comparative study. Agent and Multi-Agent Systems: Technologies and Applications - 9th KES International Conference, KES-AMSTA 2015, Proceedings. editor / Lakhmi C. Jain ; Gordan Jezic ; Robert J. Howlett. SpringerOpen, 2015. pp. 123-133 (Smart Innovation, Systems and Technologies).

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Multi-objective optimization for clustering microarray gene expression data - a comparative study

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