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ICPR
2006
IEEE

A General Framework for Agglomerative Hierarchical Clustering Algorithms

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A General Framework for Agglomerative Hierarchical Clustering Algorithms
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity graph, and a cover routine, different hierarchical agglomerative clustering algorithms can be obtained. We also describe two methods obtained from this framework called Hierarchical Compact Algorithm and Hierarchical Star Algorithm. These algorithms have been evaluated using standard document collections. The experimental results show that our methods are faster and obtain smaller hierarchies than traditional hierarchical algorithms while achieving a comparable clustering quality.
Reynaldo Gil-García, José Manuel Bad
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Reynaldo Gil-García, José Manuel Badía-Contelles, Aurora Pons-Porrata
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