Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure
Baždarić, R. & Ćelić, J. (2024). Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure. Nonlinear Dynamics, 112. (22), 19849-19869. doi: 10.1007/s11071-024-10070-7
Baždarić, Robert and Jasmin Ćelić. "Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure." Nonlinear Dynamics, vol. 112, no. 22, 2024, pp. 19849-19869. https://doi.org/10.1007/s11071-024-10070-7
Baždarić, Robert and Jasmin Ćelić. "Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure." Nonlinear Dynamics 112, no. 22 (2024): 19849-19869. https://doi.org/10.1007/s11071-024-10070-7
Baždarić, R. and Ćelić, J. (2024) 'Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure', Nonlinear Dynamics, 112(22), pp. 19849-19869. doi: 10.1007/s11071-024-10070-7
Baždarić R, Ćelić J. Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure. Nonlinear Dynamics [Internet]. 2024 August 04 [cited 2025 February 13];112(22):19849-19869. doi: 10.1007/s11071-024-10070-7
R. Baždarić and J. Ćelić, "Epistemic stability and nonlinear dynamics in selection of suboptimal cluster counts in medical images validation dataset as a cluster homogeneity measure", Nonlinear Dynamics, vol. 112, no. 22, pp. 19849-19869, August 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:563999. [Accessed: 13 February 2025]