Quantum Approaches for Medoid Clustering

Author:

Sijpesteijn Thom,Phillipson FrankORCID

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Arthur, D., Vassilvitskii, S.: How slow is the k-means method? In: Proceedings of the Twenty-Second Annual Symposium on Computational Geometry, pp. 144–153 (2006)

2. Arthur, D., Date, P.: Balanced k-means clustering on an adiabatic quantum computer. Quant. Inf. Process. 20, 1–30 (2021)

3. Bauckhage, C., Piatkowski, N., Sifa, R., Hecker, D., Wrobel, S.: A QUBO formulation of the k-medoids problem. In: LWDA, pp. 54–63 (2019)

4. Date, P., Arthur, D., Pusey-Nazzaro, L.: Qubo formulations for training machine learning models. Sci. Rep. 11(1), 10029 (2021)

5. Feld, S., et al.: A hybrid solution method for the capacitated vehicle routing problem using a quantum annealer. Front. ICT 6, 13 (2019)

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