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IGPL
2011

A new clustering algorithm applying a hierarchical method neural network

8 years 1 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many require defining additional information, including the actual number of clusters, before they can be carried out. The case study of this research presents a novel neural network that is capable of creating groups by using a combination of hierarchical clustering and self-organizing maps, without requiring the number of existing clusters to be specified beforehand. Key words: Clustering, SOM, hierarchical clustering, PAM, Dendrogram,
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where IGPL
Authors Javier Bajo, Juan Francisco de Paz, Sara Rodríguez, Angélica González
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