Source: IEEE Proceedings. Unidade: FO
Subjects: ESPECTROSCOPIA, ALGORITMOS
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LIMA, Cassio et al. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue. IEEE Proceedings, 2018Tradução . . Disponível em: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920. Acesso em: 25 jan. 2026.APA
Lima, C., Corrêa, L., Byrne, H., & Zezzel, D. (2018). K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue. IEEE Proceedings. doi:10.1109/SBFoton-IOPC.2018.8610920NLM
Lima C, Corrêa L, Byrne H, Zezzel D. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue [Internet]. IEEE Proceedings. 2018 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920Vancouver
Lima C, Corrêa L, Byrne H, Zezzel D. K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue [Internet]. IEEE Proceedings. 2018 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/SBFoton-IOPC.2018.8610920
