Research map / Graph learning / Graph algorithms and clustering
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on COIL20 · COIL20 | Trustworthiness: 0.993 -> 0.994 | No clear effect |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on MNIST · MNIST | Trustworthiness: 0.984 -> 0.983 | No clear effect |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on Fashion MNIST · Fashion MNIST | Trustworthiness: 0.976 -> 0.981 | Helped |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on BBT · BBT | Trustworthiness: 0.974 -> 0.982 | Helped |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on Buffy · Buffy | Trustworthiness: 0.975 -> 0.976 | No clear effect |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE on ImageNet · ImageNet | Trustworthiness: 0.933 -> 0.928 | Hurt |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · Fashion MNIST | Centroid Triplet Accuracy: 0.896 -> 0.925 | Helped |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · COIL20 | Centroid Triplet Accuracy: 0.799 -> 0.799 | No clear effect |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · MNIST | Centroid Triplet Accuracy: 0.752 -> 0.671 | Hurt |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · BBT | Centroid Triplet Accuracy: 0.703 -> 0.644 | Hurt |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · Buffy | Centroid Triplet Accuracy: 0.867 -> 0.857 | No clear effect |
| Use PCA on hierarchy centroids instead of full-data PCA initialization (ablation) | h-NNE · ImageNet | Centroid Triplet Accuracy: 0.654 -> 0.604 | Hurt |
Closest papers by meaning
- How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings (ICLR 2025 · similarity 0.87)
- Dimension Reduction with Locally Adjusted Graphs (AAAI 2025 · similarity 0.87)
- Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data (ICML 2025 · similarity 0.87)
- Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding (CVPR 2025 · similarity 0.87)
- FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction (NeurIPS 2024 · similarity 0.86)
- Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors (NeurIPS 2024 · similarity 0.85)
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