@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}, }