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,

• Type: Journal
• Year: 2011
• Where: IGPL
• Authors: Javier Bajo, Juan Francisco de Paz, Sara Rodríguez, Angélica González
• Keywords: Actual Number, Hierarchical Clustering, IGPL 2011, Information Technology, Multivariate Analysis