Scott Bailie

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ICED (Incremental Clustering of Evolving Data) is a novel incremental clustering algorithm designed for data whose characteristics change over time. ICED is an unsupervised clustering technique that assumes no prior knowledge of the incoming data, and supports removing clusters that contain stale data. The user controls the FPGA implementation through a(More)
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