%0 Journal Article
	%A Diego Ordonez and  Carlos Dafonte and  Minia Manteiga and  Bernardino Arcayy
	%D 2010
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 45, 2010
	%T Hierarchical Clustering Analysis with SOM Networks
	%U https://publications.waset.org/pdf/6849
	%V 45
	%X This work presents a neural network model for the
clustering analysis of data based on Self Organizing Maps (SOM).
The model evolves during the training stage towards a hierarchical
structure according to the input requirements. The hierarchical structure
symbolizes a specialization tool that provides refinements of the
classification process. The structure behaves like a single map with
different resolutions depending on the region to analyze. The benefits
and performance of the algorithm are discussed in application to the
Iris dataset, a classical example for pattern recognition.
	%P 1393 - 1399