A fast and scalable FPGA-based parallel processing architecture for K-means clustering for big data analysis

Ramprasad Raghavan, Darshika G. Perera. A fast and scalable FPGA-based parallel processing architecture for K-means clustering for big data analysis. In IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2017, Victoria, BC, Canada, August 21-23, 2017. pages 1-8, IEEE, 2017. [doi]

Abstract

Abstract is missing.