A Distributed Flocking Approach for Information Stream Clustering Analysis. Xiaohui Cui and Thomas E. Potok. Oak Ridge National Laboratory. Oak Ridge, TN 37831 ...
A data stream clustering method based on a multi-agent system that uses a decentralized bottom-up self-organizing strategy to group similar data points to ...
Document clustering analysis plays an important role in improving the accuracy of information retrieval. However, most clustering technologies can only be ...
A Distributed Flocking Approach for Information Stream Clustering Analysis... Conference Paper. June, 2006. Automated Feature Generation in Large-Scale ...
This chapter introduces three nature inspired swarm intelligence clustering approaches for document clustering analysis that use stochastic and heuristic ...
A Distributed Agent Implementation of Multiple Species Flocking Model for Document Partitioning Clustering... A Distributed Flocking Approach for Information ...
In this study, we present a new Flocking based document clustering algorithm. In this algorithm, each document in the dataset is represented by a boid.
In this paper we propose a data stream clustering method based on a multi-agent system that uses a decentralized bottom-up self-organizing strategy to group ...
Missing: Distributed Analysis.
Jan 16, 2024 · The method proposed is based on a local flocking algorithm that uses a decentralized approach to discover clusters by a density-based approach ...
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 ...