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. 2023 Apr 7;120(15):e2213149120. doi: 10.1073/pnas.2213149120

Table 1.

Performance of three methods on simulated datasets

Simulated ±60° Simulated ±40°
Dataset SNR 0.1 0.03 0.01 0.003 0.001 SNR 0.1 0.03 0.01 0.003 0.001
- - - - - - - - - -
Template matching 0.7013 0.4709 0.1496 0.0136 0.0032 0.5543 0.3336 0.0655 0.0062 0.0012
83.95% 69.75% 45.35% 25.25% 20.95% 76.25% 61.15% 36.60% 23.80% 21.20%
K = 5 K = 4 K = 5 K = 5 K = 3 K = 6 K = 5 K = 3 K = 3 K = 3
Autoencoder 0.3843 0.4539 0.3613 0.4915 0.3881 0.5227 0.3470 0.3735 0.3878 0.3874
56.75% - 53.45% 64.80% - - 53.35% - - -
K = 5 K = 5 K = 5 K = 5 K = 5 K = 5 K = 5 K = 5 K = 6 K = 6
DISCA 0.9878 0.9373 0.8746 0.8712 0.8719 0.9568 0.8020 0.8344 0.8366 0.8323
99.70% 97.80% 94.80% 94.25% 94.50% 98.70% 90.35% 91.80% - -

In each cell, the first row denotes the estimated K for unsupervised methods. The second row denotes the homogeneity score compared to the ground truth. The third row denotes prediction accuracy.