FPGA implementation of K-means algorithm for bioinformatics application: An accelerated approach to clustering Microarray data

@article{Hussain2011FPGAIO,
  title={FPGA implementation of K-means algorithm for bioinformatics application: An accelerated approach to clustering Microarray data},
  author={Hanaa M. Hussain and Khaled Benkrid and Huseyin Seker and Ahmet T. Erdogan},
  journal={2011 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)},
  year={2011},
  pages={248-255}
}
The Microarray is a technique used by biologists to perform many genome experiments simultaneously, which produces very large datasets. Analysis of these datasets is a challenge for scientists especially as the number of genome databases is increasing rapidly every year. K-means clustering is an unsupervised data mining technique used widely by bioinformaticians to analyze Microarray data. However, K-means can take between a few seconds to several days to process Microarray data depending on… CONTINUE READING

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