Details

Autor(en) / Beteiligte

• Cui, Xiaohui
• Potok, Thomas E.
• Payne, Terry R.
• Klusch, Matthias
• Rovatsos, Michael

Titel

A Distributed Agent Implementation of Multiple Species Flocking Model for Document Partitioning Clustering

Ist Teil von

• Cooperative Information Agents X, 2006, p.124-137

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2006

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.