Hiroshi Dozono. Visualization and Classification of DNA Sequences Using Pareto Learning Self Organizing Maps Based on Frequency and Correlation Coefficient. In Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange, editors, Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014. Volume 295 of Advances in Intelligent Systems and Computing, pages 89-98, Springer, 2014. [doi]
@inproceedings{Dozono14, title = {Visualization and Classification of DNA Sequences Using Pareto Learning Self Organizing Maps Based on Frequency and Correlation Coefficient}, author = {Hiroshi Dozono}, year = {2014}, doi = {10.1007/978-3-319-07695-9_8}, url = {http://dx.doi.org/10.1007/978-3-319-07695-9_8}, researchr = {https://researchr.org/publication/Dozono14}, cites = {0}, citedby = {0}, pages = {89-98}, booktitle = {Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014}, editor = {Thomas Villmann and Frank-Michael Schleif and Marika Kaden and Mandy Lange}, volume = {295}, series = {Advances in Intelligent Systems and Computing}, publisher = {Springer}, isbn = {978-3-319-07694-2}, }