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Arkajyoti Saha
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2020 – today
- 2022
- [j10]Arkajyoti Saha, Sumanta Basu, Abhirup Datta:
RandomForestsGLS: An R package for Random Forests for dependent data. J. Open Source Softw. 7(71): 3780 (2022) - 2020
- [i1]Arkajyoti Saha, Sumanta Basu, Abhirup Datta:
Random Forests for dependent data. CoRR abs/2007.15421 (2020)
2010 – 2019
- 2019
- [j9]Arkajyoti Saha, Swagatam Das:
Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure. IEEE Trans. Cybern. 49(12): 4229-4242 (2019) - 2018
- [j8]Arkajyoti Saha, Swagatam Das:
Clustering of fuzzy data and simultaneous feature selection: A model selection approach. Fuzzy Sets Syst. 340: 1-37 (2018) - [j7]Arkajyoti Saha, Swagatam Das:
On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis. Fuzzy Sets Syst. 340: 73-90 (2018) - 2017
- [j6]Arkajyoti Saha, Swagatam Das:
Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis. Inf. Sci. 408: 129-145 (2017) - [j5]Arkajyoti Saha, Swagatam Das:
Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective. Mach. Learn. 106(7): 951-992 (2017) - 2016
- [j4]Arkajyoti Saha, Swagatam Das:
Optimizing cluster structures with inner product induced norm based dissimilarity measures: Theoretical development and convergence analysis. Inf. Sci. 372: 796-814 (2016) - [j3]Arkajyoti Saha, Swagatam Das:
Geometric divergence based fuzzy clustering with strong resilience to noise features. Pattern Recognit. Lett. 79: 60-67 (2016) - 2015
- [j2]Arkajyoti Saha, Swagatam Das:
Categorical fuzzy k-modes clustering with automated feature weight learning. Neurocomputing 166: 422-435 (2015) - [j1]Arkajyoti Saha, Swagatam Das:
Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization. Pattern Recognit. Lett. 63: 50-58 (2015)
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