Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
Papyrus: a system for data mining over local and wide area clusters and super-clusters
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Cluster validity methods: part I
ACM SIGMOD Record
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Quality Scheme Assessment in the Clustering Process
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Privacy-preserving agent-based distributed data clustering
Web Intelligence and Agent Systems
Cluster validity measurement techniques
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Investigating the use of a multi-agent system for knowledge discovery in databases
International Journal of Hybrid Intelligent Systems - VIII Brazilian Symposium On Neural Networks
Agent-Enriched Data Mining Using an Extendable Framework
Agents and Data Mining Interaction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
A Data Clustering Tool with Cluster Validity Indices
ICC '09 Proceedings of the 2009 International Conference on Computing, Engineering and Information
Agent-based distributed data mining: the KDEC scheme
Intelligent information agents
Clustering in a multi-agent data mining environment
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Multi-agent based clustering: towards generic multi-agent data mining
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Agent based distributed data mining
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
A multi-agent based approach to clustering: harnessing the power of agents
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
A framework for Multi-Agent Based Clustering
Autonomous Agents and Multi-Agent Systems
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Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number of validation metrics to identify the most effective metric with respect to this context. This paper also describes a process whereby such metrics can be used to determine the optimum parameters typically required by clustering algorithms, and a process for incorporating this into a MAC framework to generate best cluster configurations with minimum input from end users.