KACU: K-means with hardware Centroid-Updating
Journal
Emerging Information Technology Conference 2005
Journal Volume
2005
Pages
68-70
Date Issued
2005
Author(s)
Abstract
In 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.
Other Subjects
Algorithms; Information technology; Performance; Clustering algorithm; Continuous K-means algorithm; Field programmable gate arrays
Type
conference paper
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