Publisher
Springer International Publishing
Reference21 articles.
1. Chen, J., Zhao, Z., Ye, J., Liu, H.: Nonlinear adaptive distance metric learning for clustering. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 123–132. ACM (2007)
2. Du, L., Zhang, H., Ren, X., Lv, X.: Manifold adaptive multiple kernel k-means for clustering. arXiv preprint arXiv:2009.14389 (2020)
3. Du, L., et al.: Robust multiple kernel k-means using l21-norm. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)
4. Gönen, M., Alpaydin, E.: Localized multiple kernel learning. In: Proceedings of the 25th International Conference on Machine Learning, pp. 352–359. ACM (2008)
5. Gönen, M., Margolin, A.A.: Localized data fusion for kernel k-means clustering with application to cancer biology. In: Advances in Neural Information Processing Systems, pp. 1305–1313 (2014)