A multi-agent system for distributed cluster analysis

Autor:	J.W. Reed
Rok vydání:	2004
Předmět:	Data set Hierarchical agglomerative clustering Computer science Multi-agent system Cluster (physics) Data mining computer.software_genre Cluster analysis computer
Zdroj:	"Third International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'04)" W16L Workshop - 26th International Conference on Software Engineering.
DOI:	10.1049/ic:20040372
Popis:	One of the approaches used to improve the accuracy and relevancy in information retrieval is cluster analysis. Clustering methods determine relationships among text documents, and allow the determination of similar groups or clusters of documents. These methods are computationally expensive, thereby limiting their use to a relatively small set of documents. This paper describes a multi-agent system to cluster large data sets. This technique is then compared to hierarchical agglomerative clustering using a small set of text data. Results show that the agent-based approach can significantly reduce the time required to cluster large data sets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6dc83506f6e44970c61e7dba301dfa83 https://doi.org/10.1049/ic:20040372 Zobrazit plný text záznamu