[11] Mohamad Asri Muhammad Naeim, Mat Desa Wan Nur Syuhaila, Ismail Dzulkiflee. Source determination of red gel pen inks using Raman spectroscopy and attenuated total reflectance Fourier transform infrared spectroscopy combined with Pearson's product moment correlation coefficients and principal component analysis[J]. Journal of Forensic Sciences, 2018, 63(1): 285-291.
[12] Senior Samir et al. Characterization and dating of blue ballpoint pen inks using principal component analysis of UV-Vis absorption spectra, IR spectroscopy, and HPTLC[J]. Journal of Forensic Sciences, 2012, 57(4):1087-93.
[13] ZHANG Jin, JIANG Hong, DUAN Bin, et al. A rapid and nondestructive approach for forensic identification of cigarette inner liner papers using shift-excitation Raman difference spectroscopy and chemometrics[J]. Journal of Forensic Sciences, 2021, 66(6): 2180-2189.
[14] Michal Oravec, Anel Beganovi?, Luká? Gál, et al. Forensic classification of black inkjet prints using Fourier transform near-infrared spectroscopy and linear discriminant analysis[J]. Forensic Science International, 2019,299: 128-134.
[15] Maione Camila, de Oliveira Souza Vanessa Cristina, Togni Loraine Rezende, et al. Using cluster analysis and ICP-MS to identify groups of ecstasy tablets in Sao Paulo State, Brazil[J]. Journal of Forensic Sciences,2017, 62(6): 1479-1486.
[16] Nurlaila Ika, Irawati Wahyu, Purwandari Kartika, et al. K-means clustering model to discriminate copper-resistant bacteria as bioremediation agents[J]. Procedia Computer Science, 2021, 179: 804-812.
