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Academic papers and Conference proceedings: Mardaneh, K. (2010) Clustering Australian Regional Areas: An Optimisation Approach. Innovation and Regions: Theory, Practice and Policy, Refereed proceedings of the 34th Annual Conference of the Australia and New Zealand Regional Science Association International (ANZARSAI), Melbourne, December 7-10, Edited by Dalziel, P., Published by AERU Research Unit, Lincoln University, Lincoln, New Zealand. Mardaneh, K. (2010) Clustering Australian Regional Areas: An Optimisation Approach. Paper presented at The 34th Annual Conference of the Australia and New Zealand Regional Science Association International (ANZARSAI), Melbourne, Australia, December 7-10. Bagirov, A. and Mardaneh, K. (2007). An efficient Clustering Algorithm for Gene Expression Data Sets. Proceedings of The 7th International Conference on Optimization: Techniques and Applications (ICOTA7). Kobe, December 12-15, 2007. Edited by Fukushima, M. et al., University Academy Press, Tokyo, Japan. Bagirov, A. and Mardaneh, K. (2007). An efficient Clustering Algorithm for Gene Expression Data Sets. Paper presented at The 7th International Conference on Optimization: Techniques and Applications. Kobe, Japan, December 12-15, 2007. Bagirov, A. M. and Mardaneh, K. (2006). Modified global k-means Algorithm for Clustering in Gene Expression Data Sets. Intelligent systems for Bioinformatics 2006, Hobart, Australia, Australian Computer Society (ACS). Bagirov, A. M. and Mardaneh, K. (submitted). Gene selection using hyperboxes. To Appear in Bioinformatics. Oxford Journals. Oxford University Press. Bagirov, A. M. and Mardaneh, K. (submitted). New classification algorithms for gene expression datasets based on piecewise linear separation. To Appear in Applied Bioinformatics. Applied/commercial Research Reports: Lowe, J., Lynch D., Peng T.C., Mardaneh, K., McEachern, S., and Miekle, T., (2010) Social perceptions on the value of Lake Wendouree: Smart Water Fund. Lowe, J., Lynch D. and Mardaneh, K. (2009) Valuation of a Landmark Urban Water Resource: Smart Water Fund.
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