Kherwa, P., & Arora, J. (2025). Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm. Journal of systems science and systems engineering, 34(3), 257-283. https://doi.org/10.1007/s11518-024-5639-3
Citácia podle Chicago (17th ed.)Kherwa, Pooja, a Jyoti Arora. "Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm." Journal of Systems Science and Systems Engineering 34, no. 3 (2025): 257-283. https://doi.org/10.1007/s11518-024-5639-3.
Citácia podľa MLA (8th ed.)Kherwa, Pooja, a Jyoti Arora. "Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm." Journal of Systems Science and Systems Engineering, vol. 34, no. 3, 2025, pp. 257-283, https://doi.org/10.1007/s11518-024-5639-3.