2015
Scalable clustering based on enhanced-SMART for large-scale FMRI datasets
ICASSP 2015accepted
In this paper, we propose a scalable clustering paradigm to address the problems of excessive computational load and limited clustering performance in large-scale data. The proposed method employs the enhanced splitting merging awareness tactics (E-SMART) algorithm. The large-scale dataset is divide…