Self Organized Dynamic Tree Neural Network

Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partitional, hierarchical, density studies, probabilistic, etc. This article will present the SODTNN, which can perform clustering by integrating hierarchical and density-based methods. The network incorporates the behavior of self-organizing maps and does not specify the number of existing clusters in order to create the various groups.

• Type: Conference
• Year: 2009
• Where: IWANN
• Authors: Juan Francisco de Paz, Sara Rodríguez, Javier Bajo, Juan M. Corchado, Vivian López
• Keywords: Artificial Intelligence, Cluster Analysis, Density Studies, IWANN 2009, Various Algorithms