@inproceedings{9bfba9ca66f7485694895208b8348917,
title = "A distributed agent implementation of multiple species Flocking model for document partitioning clustering",
abstract = "The Flocking model, first proposed by Craig Reynolds, is one of the first bio-inspired computational collective behavior models that has many popular applications, such as animation. Our early research has resulted in a flock clustering algorithm that can achieve better performance than the K-means or the Ant clustering algorithms for data clustering. This algorithm generates a clustering of a given set of data through the embedding of the high-dimensional data items on a two-dimensional grid for efficient clustering result retrieval and visualization. In this paper, we propose a bio-inspired clustering model, the Multiple Species Flocking clustering model (MSF), and present a distributed multi-agent MSF approach for document clustering.",
keywords = "Agent, Bio-inspired, Clustering, Flocking, Swarm, VSM",
author = "Xiaohui Cui and Potok, {Thomas E.}",
year = "2006",
doi = "10.1007/11839354_10",
language = "English",
isbn = "354038569X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "124--137",
booktitle = "Cooperative Information Agents X - 10th International Workshop, CIA 2006. Proceedings",
note = "10th International Workshop on Cooperative Information Agents, CIA 2006 ; Conference date: 11-09-2006 Through 13-09-2006",
}