An Fpga Based Coprocessor for Cancer Classification Using Nearest Neighbour Classifier

This paper discusses the suitability of reconfigurable computing to speedup classification problems using the nearest neighbour (1NN) classifier. INN classifier is widely used in the literature especially in real-time applications such as face recognition, on-line hand-written character recognition and medical applications where the performance enhancement in terms of speed is desirable. To evaluate the effectiveness of our implementation on field programmable gate arrays (FPGAs), experiments were carried out on two medical data sets. Results have shown that the classification accuracy is exactly same for both FPGAs and microprocessor (muP) based solutions with FPGA has superior speed performances