Fuzzy Kernel Weighted Random Projection Ensemble Clustering For High Dimensional Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27409-1_16
Reference18 articles.
1. Yang, M.S., Nataliani, Y.: A feature-reduction fuzzy clustering algorithm based on feature-weighted entropy. IEEE Trans. Fuzzy Syst. 26(2), 817–835 (2017)
2. Ilc, N.: Weighted cluster ensemble based on partition relevance analysis with reduction step. IEEE Access 8, 113720–113736 (2020)
3. Bagherinia, A., Minaei-Bidgoli, B., Hosseinzadeh, M., Parvin, H.: Reliability-based fuzzy clustering ensemble. Fuzzy Sets Syst. 413, 1–28 (2021)
4. Huang, D., Wang, C.D., Lai, J.H.: Locally weighted ensemble clustering. IEEE Trans. Cybern. 48(5), 1460–1473 (2017)
5. Zhao, Y.P., Chen, L., Gan, M., Chen, C.P.: Multiple kernel fuzzy clustering with unsupervised random forests kernel and matrix-induced regularization. IEEE Access 7, 3967–3979 (2018)
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