A multi-objective memetic algorithm based clustering method

Anh Duc Do, Siu Yeung Cho, Yew Soon Ong

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Data clustering is a challenging problem where clustering algorithms are only based on one criterion, which is able to reveal all types of structures presenting in the data. It is unfeasible to establish a priori clustering criterion which is supposed to be more appropriate to capture the structure in the data. Clustering algorithms with different objective or criterion are essential to apply to the data in order to obtain different structures. This paper presents an attempt of using Multi-Objectives Memetic Algorithm (MOMA) for providing multi-objectives clustering. The approach is supposed to provide better clustering result with complex structured data set, as well as better ability to define optimal number of clustering with direct optimization on cluster validation.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
Pages881-887
Number of pages7
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Conference on Artificial Intelligence, ICAI 2008 and 2008 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2008 - Las Vegas, NV, United States
Duration: 14 Jul 200817 Jul 2008

Publication series

NameProceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications

Conference

Conference2008 International Conference on Artificial Intelligence, ICAI 2008 and 2008 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period14/07/0817/07/08

Keywords

  • Evolutionary computing
  • Genetic algorithm
  • Memetic algorithm
  • Multi-objectives clustering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A multi-objective memetic algorithm based clustering method'. Together they form a unique fingerprint.

Cite this