Table 3 Parameters of DEC architecture used.

From: A deep embedded clustering method for location-specific driving safety profiling using trajectory data

Activation Function

Leaky Relu

Normalization

Batch Normalization

Dropout

0.3 after each activation

Latent dimension

Encoder Layer (5-64-32)

Decoder Layer (32-64-5)

Batch Size

128

Learning Rate

0.001

Pretrain Epochs

30

DEC Epochs

20

Hyperparameter Tuning

Grid Search

alpha= 0.1, 0.5, 1.0, 2.0, 2.5

Beta= 0.5, 1.0, 2.0, 2.5

Optimizer

Adam optimizer

Loss Function

MSE and Kullback-Leibler (KL) divergence