Random forest clustering for discrete sequences M Jiang, J Wang, L Hu, Z He Pattern Recognition Letters 174, 145-151, 2023 | 14 | 2023 |
Random subsequence forests Z He, J Wang, M Jiang, L Hu, Q Zou Information Sciences 667, 120478, 2024 | 4 | 2024 |
The statistical nature of h-index of a network node and its extensions Y Liu, M Jiang, L Hu, Z He Journal of Informetrics 17 (3), 101424, 2023 | 2 | 2023 |
Interpretable sequence clustering J Dong, X Yang, M Jiang, L Hu, Z He Information Sciences 689, 121453, 2025 | 1 | 2025 |
Interpretable Multi-View Clustering M Jiang, L Hu, Z He, Z Chen arXiv preprint arXiv:2405.02644, 2024 | 1 | 2024 |
Significance-Based Categorical Data Clustering L Hu, M Jiang, Y Liu, Z He arXiv preprint arXiv:2211.03956, 2022 | 1 | 2022 |
Interpretable Clustering: A Survey L Hu, M Jiang, J Dong, X Liu, Z He arXiv preprint arXiv:2409.00743, 2024 | | 2024 |
A randomized algorithm for clustering discrete sequences M Jiang, L Hu, X Han, Y Zhou, Z He Pattern Recognition 151, 110388, 2024 | | 2024 |
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification J Dong, M Jiang, L Hu, Z He arXiv preprint arXiv:2310.10321, 2023 | | 2023 |
A testing-based approach to assess the clusterability of categorical data L Hu, J Dong, M Jiang, Y Liu, Z He arXiv preprint arXiv:2307.07346, 2023 | | 2023 |
Personalized Interpretable Classification Z He, Y Tang, L Hu, M Jiang, Y Liu arXiv preprint arXiv:2302.02528, 2023 | | 2023 |
The statistical nature of h-index of a network node Y Liu, M Jiang, L Hu, Z He arXiv preprint arXiv:2206.00381, 2022 | | 2022 |
Clusterability Test for Categorical Data L Hu, J Dong, M Jiang, Y Liu, Z He Available at SSRN 4651548, 0 | | |