Seon Kim

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We propose a clustering framework that supports clustering of datasets with mixed attribute type (numerical, categorical), while minimizing information loss during clustering. Real world datasets such as medical datasets and its ontology have mixed attribute type datasets. However, most conventional clustering algorithms have been designed and applied to(More)
In this paper, we present our compiler infrastructure, called Jaguar for Java reconfigurable computing. The Jaguar compiler translates compiled Java methods, i.e. sequence of bytecodes into Verilog synthesizable code modules with exploiting the maximum operational parallelism in applications. Our compiler infrastructure consists of two major components: One(More)
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