Clustering algorithms are used extensively to organise and categorise abundant data. This paper describes the implementation of subtractive clustering algorithm in hardware. The solution developed in this paper seeks a hardware implementation to automatic and fast identification of cluster centres. This hardware proposed is generic so it can be used in any data classification problems, omnipresent in identification systems.
['Marcos Santana Farias', 'Nadia Nedjah', 'Luiza de Macedo Mourelle']
A hardware architecture for subtractive clustering