Fig. 3 | Scientific Reports

Fig. 3

From: Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification

Fig. 3

Results of the effectiveness analysis of various algorithms based on the experimental data. Figure 3(A, B, C) illustrate the ACC calculation results based on the UCIML, NLST, and NSCLC datasets, respectively. Figure 3(D, E, F) illustrate the PRE calculation results based on the UCIML, NLST, and NSCLC datasets, respectively. Figure 3(G, H, I) illustrate the REC calculation results based on the UCIML, NLST, and NSCLC datasets, respectively. Figure 3(J, K, L) illustrate the F1-score calculation results based on the UCIML, NLST, and NSCLC datasets, respectively. Figure 3(M, N, O) illustrate the ARI calculation results based on the UCIML, NLST, and NSCLC datasets, respectively. The horizontal axis in all figures represents the privacy budget ε. The black line represents the identification results of FCM, the blue line represents the identification results of DPFCM, and the red line represents the identification results of DPFCM_GK.

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