NDLI: On data clustering with a flock of artificial agents

Content Provider	IEEE Xplore Digital Library
Author	Picarougne, F. Azzag, H. Venturini, G. Guinot, C.
Copyright Year	2004
Description	Author affiliation: Lab. d'lnformatique, Ecole Polytechnique de l'Univ. de Tours, France (Picarougne, F.; Azzag, H.; Venturini, G.)
Abstract	We present a new bio-inspired algorithm that dynamically creates and visualizes groups of data. This algorithm uses the concepts of a flock of agents that move together in a complex manner with simple local rules. Each agent represents one data. The agents move with the aim of creating homogeneous groups of data that evolve together in a 2D environment. These created groups are visualized in real time and help the domain expert to understand the underlying class structure of the data set, like for example a realistic number of classes, clusters of similar data, isolated data, etc. We present several extensions of this algorithm and present results from artificial and real-world data.
Sponsorship	IEEE Comput. Soc.
Starting Page	777
Ending Page	778
File Size	76852
Page Count	2
File Format	PDF
ISBN	076952236X
ISSN	10823409
DOI	10.1109/ICTAI.2004.95
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Clustering algorithms Heuristic algorithms Genetic algorithms Immune system Biological system modeling Animals Performance analysis Algorithm design and analysis Performance evaluation
Content Type	Text
Resource Type	Article

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