Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-means clustering A Gupta, S Datta, S Das Pattern Recognition Letters 116, 72-79, 2018 | 40 | 2018 |
Fuzzy clustering to identify clusters at different levels of fuzziness: an evolutionary multiobjective optimization approach A Gupta, S Datta, S Das IEEE transactions on cybernetics 51 (5), 2601-2611, 2019 | 35 | 2019 |
On efficient model selection for sparse hard and fuzzy center-based clustering algorithms A Gupta, S Das Information Sciences 590, 29-44, 2022 | 5 | 2022 |
On the Unification of k-Harmonic Means and Fuzzy c-Means Clustering Problems under Kernelization A Gupta, S Das 2017 Ninth International Conference on Advances in Pattern Recognition …, 2017 | 5 | 2017 |
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers A Majee, A Gupta, S Raha, S Das arXiv preprint arXiv:2403.16175, 2024 | | 2024 |
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract) TK Biswas, A Gupta, N Changder, R Taguelmimt, S Aknine, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23443 …, 2024 | | 2024 |
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision A Gupta, S Das IEEE Transactions on Emerging Topics in Computational Intelligence 6 (4 …, 2021 | | 2021 |
On Efficient Center-based Clustering: from Unsupervised Learning to Clustering under Weak Supervision A Gupta Indian Statistical Institute, Kolkata, 2021 | | 2021 |