Publisher
Springer Nature Switzerland
Reference35 articles.
1. Masulli, F., Schenone, A.: A fuzzy clustering based segmentation system as support to diagnosis in medical imaging. Artif. Intell. Med. 16(2), 129–147 (1999)
2. Chaturvedi, A., Carroll, J.D., Green, P.E., Rotondo, J.A.: A feature-based approach to market segmentation via overlapping k-centroids clustering. J. Mark. Res. 34(3), 370–377 (1997)
3. Wu, W., Liu, J., Wang, H., Hao, J., Xian, M.: Secure and efficient outsourced k-means clustering using fully homomorphic encryption with ciphertext packing technique. IEEE Trans. Knowl. Data Eng. 33(10), 3424–3437 (2020)
4. Mohassel, P., Rosulek, M., Trieu, N.: Practical privacy-preserving k-means clustering. Proc. Priv. Enh. Technol. 2020(4), 414–433 (2020)
5. Naeem, M., Asghar, S.: KEGG metabolic reaction network data set. The UCI KDD Archive (2011)