| Study on density peaks clustering based on k-nearest neighbors and principal component analysis M Du, S Ding, H Jia Knowledge-Based Systems 99, 135-145, 2016 | 445 | 2016 |
| An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood S Ding, M Du, T Sun, X Xu, Y Xue Knowledge-Based Systems 133, 294-313, 2017 | 82 | 2017 |
| A robust density peaks clustering algorithm using fuzzy neighborhood M Du, S Ding, Y Xue International Journal of Machine Learning and Cybernetics 9 (7), 1131-1140, 2018 | 79 | 2018 |
| DPCG: an efficient density peaks clustering algorithm based on grid X Xu, S Ding, M Du, Y Xue International Journal of Machine Learning and Cybernetics 9 (5), 743-754, 2018 | 68 | 2018 |
| Density peaks clustering using geodesic distances M Du, S Ding, X Xu, Y Xue International Journal of Machine Learning and Cybernetics 9 (8), 1335-1349, 2018 | 66 | 2018 |
| A semi-supervised approximate spectral clustering algorithm based on HMRF model S Ding, H Jia, M Du, Y Xue Information Sciences 429, 215-228, 2018 | 65 | 2018 |
| A novel density peaks clustering algorithm for mixed data M Du, S Ding, Y Xue Pattern Recognition Letters 97, 46-53, 2017 | 54 | 2017 |
| A novel density peaks clustering with sensitivity of local density and density-adaptive metric M Du, S Ding, Y Xue, Z Shi Knowledge and Information Systems 59 (2), 285-309, 2019 | 43 | 2019 |
| Approximate normalized cuts without Eigen-decomposition H Jia, S Ding, M Du, Y Xue Information Sciences 374, 135-150, 2016 | 40 | 2016 |
| Self-tuning p-spectral clustering based on shared nearest neighbors H Jia, S Ding, M Du Cognitive Computation 7 (5), 622-632, 2015 | 37 | 2015 |
| Survey on granularity clustering S Ding, M Du, H Zhu Cognitive neurodynamics 9 (6), 561-572, 2015 | 25 | 2015 |
| A Nyström spectral clustering algorithm based on probability incremental sampling H Jia, S Ding, M Du Soft Computing 21 (19), 5815-5827, 2017 | 24 | 2017 |
| M3W: Multistep Three-Way Clustering M Du, J Zhao, J Sun, Y Dong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| ROBP a robust border-peeling clustering using Cauchy kernel M Du, R Wang, R Ji, X Wang, Y Dong Information Sciences 571, 375-400, 2021 | 16 | 2021 |
| A three-way clustering method based on improved density peaks algorithm and boundary detection graph C Sun, M Du, J Sun, K Li, Y Dong International Journal of Approximate Reasoning 153, 239-257, 2023 | 8 | 2023 |
| p-Spectral Clustering Based on Neighborhood Attribute Granulation S Ding, H Jia, M Du, Q Hu International Conference on Intelligent Information Processing, 50-58, 2016 | 7 | 2016 |
| Grid-Based Clustering Using Boundary Detection M Du, F Wu Entropy 24 (11), 1606, 2022 | 5 | 2022 |
| Attention-Based Sequence-to-Sequence Model for Time Series Imputation Y Li, M Du, S He Entropy 24 (12), 1798, 2022 | 3 | 2022 |
| Multiple Latent Spaces Learning for Cross-Domain Text Classification J Pan, T Cui, M Du, Q Zhang, B Song, Q Qu 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 17-24, 2021 | 1 | 2021 |
| Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster J Sun, M Du, C Sun, Y Dong IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
