Abstract
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 ESODTNN neural network, an evolution of the SODTNN network, which facilitates the revision process by merging its operational process with dendrogram techniques, and enables the automatic detection of clusters in an increased number of situations.
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De Paz, J.F., Rodríguez, S., Gil, A., Corchado, J.M., Vega, P. (2010). Enhanced Self Organized Dynamic Tree Neural Network. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_11
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