Dept. of Electr. Eng., National Taiwan Univ.Liu, Wei-ChuanWei-ChuanLiuHuang, Jiun-LongJiun-LongHuangMING-SYAN CHEN2018-09-102018-09-102005http://www.scopus.com/inward/record.url?eid=2-s2.0-33751181440&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/316167In this paper, we propose a framework, KACU (standing for K-means with hArdware Centroid Updating), to enhance the speed of K-means clustering algorithm by integrating a hardware centroid updating mechanism into the procedure of continuous K-means algorithm. To facilitate performance measurement, KACU is implemented in a commercial Field Programmable Gate Array (abbreviated as FPGA) device. The experimental results show that KACU is able to achieve considerably higher performance. © 2005 IEEE.application/pdf122011 bytesapplication/pdfAlgorithms; Information technology; Performance; Clustering algorithm; Continuous K-means algorithm; Field programmable gate arraysconference paper10.1109/EITC.2005.15443472-s2.0-33751181440