A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis

Keyphrases

• Loss Function 100%
• COVID-19 100%
• Data Clustering 100%
• Data Reconstruction 100%
• Latent Dirichlet Allocation 66%
• Deep Learning 33%
• Dimensionality Reduction 33%
• Unseen 33%
• Evaluation Metrics 33%
• Computational Efficiency 33%
• Proposed Architecture 33%
• Autoencoder 33%
• Denoising Autoencoder 33%
• Noisy Data 33%
• Clean Data 33%
• Model Efficiency 33%
• Document Topics 33%
• Knowledge State 33%
• Latent Space 33%

Computer Science

• Clustered Data 100%
• Scientific Literature 100%
• Latent Dirichlet Allocation 100%
• COVID-19 100%
• Experimental Result 50%
• Large Data Set 50%
• Evaluation Metric 50%
• Dimensionality Reduction 50%
• Objective Function 50%
• Computational Efficiency 50%
• Deep Learning Method 50%
• Autoencoder 50%
• Denoising Autoencoder 50%
• COVID 19 Epidemic 50%