TY  - GEN 
AU  - Luengo, Mohammad
AU  - Sultan Mahmud, Mohammad
AU  - Zheng, Hua
AU  - García-Gil, Diego
AU  - García, Salvador
AU  - Zhexue Huang, Joshua
PY  - 2025
UR  - https://hdl.handle.net/10481/104731
AB  - Large-scale data clustering needs an approximate approach for improving computation efficiency and data scalability. In this paper, we propose a novel method for ensemble clustering of large-scale datasets that uses the Random Sample Partition and...
LA  - eng
KW  - Clustering approximation
KW  - Ensemble clustering
KW  - Incremental clustering
KW  - Ensemble learning
TI  - RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data
DO  - https://doi.org/10.1016/j.patcog.2024.111321
ER  -