Research map / Learning theory and algorithms / Matrix and tensor methods
Geometric All-way Boolean Tensor Decomposition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use GETF instead of MP | Boolean matrix factorization · Synthetic order-2 tensors, 4 scenarios | reconstruction error and time | Helped |
| use GETF instead of LOM | Boolean tensor decomposition · Synthetic order-3 tensors, 4 scenarios | reconstruction error | Mixed |
| use GETF instead of LOM on Chicago crime 3D slice | Boolean tensor decomposition · Chicago crime | patterns to reach same reconstruction error | Helped |
| use GETF instead of LOM on breast cancer transcriptomics slice | Boolean tensor decomposition · Breast cancer spatial transcriptomics | reconstruction error | Helped |
| use GETF on 4-order Chicago crime tensor where LOM does not converge | Boolean tensor decomposition · Chicago crime 4D | convergence | Helped |
| increase tensor order to 5 (more than 3*10^8 elements) | GETF · Synthetic data | convergence time: less than 1 minute | No clear effect |
| vary noise level | GETF · Synthetic data | performance | No clear effect |
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