Welcome to the InfoSci Platform
Reference Hub2
Self-Organizing Tree Using Artificial Ants

Self-Organizing Tree Using Artificial Ants

Hanene Azzag, Mustapha Lebbah
Copyright: © 2011 |Volume: 4 |Issue: 2 |Pages: 16
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781466600041|DOI: 10.4018/jitr.2011040101
Cite Article Cite Article

MLA

Azzag, Hanene, and Mustapha Lebbah. "Self-Organizing Tree Using Artificial Ants." JITR vol.4, no.2 2011: pp.1-16. http://doi.org/10.4018/jitr.2011040101

APA

Azzag, H. & Lebbah, M. (2011). Self-Organizing Tree Using Artificial Ants. Journal of Information Technology Research (JITR), 4(2), 1-16. http://doi.org/10.4018/jitr.2011040101

Chicago

Azzag, Hanene, and Mustapha Lebbah. "Self-Organizing Tree Using Artificial Ants," Journal of Information Technology Research (JITR) 4, no.2: 1-16. http://doi.org/10.4018/jitr.2011040101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this paper, the authors propose a new approach for topological hierarchical tree clustering inspired from the self-assembly behavior of artificial ants. The method, called SoTree (Self-organizing Tree), builds, autonomously and simultaneously, a topological and hierarchical partitioning of data. Each ’’cluster’’ associated to one cell of a 2D grid is modeled by a tree. The artificial ants similarly build a tree where each ant represents a node/data. The benefit of this approach is the intuitive representation of hierarchical relations in the data. This is especially appealing in explorative data mining applications, allowing the inherent structure of the data to unfold in a highly intuitive fashion.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.