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	Park, Sang     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews       Document clustering method using dimension reduction and support vector clustering to overcome sparseness Jun S., Park S., Jang D. Expert Systems with Applications: An International Journal 41(7): 3204-3212, 2014.  Type: Article In this paper, the authors aim to address three problems associated with document clustering: determining the number of clusters, structuring the collection description matrix into a form suitable for statistical analysis, and overcomi...... Sep 19 2014     Predictable high-performance computing using feedback control and admission control Park S., Humphrey M. IEEE Transactions on Parallel and Distributed Systems 22(3): 396-411, 2011.  Type: Article Job scheduling in high-performance computing is one of the fields that has seen few changes despite decades of progress in supercomputing. The application of system control theory is about to change this state of affairs. High-performa...... Jul 19 2012     Efficient clustering-based data aggregation techniques for wireless sensor networks Jung W., Lim K., Ko Y., Park S. Wireless Networks 17(5): 1387-1400, 2011.  Type: Article In convergecast or data collection applications of wireless sensor networks, the sensor nodes generate a large amount of redundant data. To save energy and communication costs when collecting meaningful data from convergecast traffic, ...... May 8 2012
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