• Corpus ID: 14920373

Quantum Modeled Clustering Algorithms for Image Segmentation

@inproceedings{Casper2013QuantumMC,
  title={Quantum Modeled Clustering Algorithms for Image Segmentation},
  author={Ellis Casper and Chih-Cheng Hung},
  year={2013}
}
The ability to cluster data accurately is essential to applications such as image segmentation. Therefore, techniques that enhance accuracy are of keen interest. One such technique involves applying a quantum mechanical system model, such as that of the quantum bit, to generate probabilistic numerical output to be used as variable input for clustering algorithms. This work demonstrates that applying a quantum bit model to data clustering algorithms can increase clustering accuracy, as a result… 
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