@article{(Open Science Index):https://publications.waset.org/pdf/6849,
	  title     = {Hierarchical Clustering Analysis with SOM Networks},
	  author    = {Diego Ordonez and  Carlos Dafonte and  Minia Manteiga and  Bernardino Arcayy},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {9},
	  year      = {2010},
	  pages     = {1393 - 1399},
	  ee        = {https://publications.waset.org/pdf/6849},
	  url   	= {https://publications.waset.org/vol/45},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 45, 2010},