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evo-mars-clustering-eval
Core clustering and evaluation utilities for Mars cloud annotations. Custom weighted Euclidean DBSCAN clustering, centroid computation, greedy bipartite matching, and per-image F1/delta scoring.
tasks-evolved/mars-clouds-clustering/environment/skills/evo-mars-clustering-eval/SKILL.md
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- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
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# evo-mars-clustering-eval
Core clustering and evaluation utilities for DBSCAN-based Mars cloud annotation clustering.
## Key Functions
- `weighted_euclidean_pairwise(u, v, w)` - Custom distance: sqrt((w*dx)^2 + ((2-w)*dy)^2)
- `compute_precomputed_distance_matrix(X, w)` - Build precomputed distance matrix for DBSCAN
- `run_dbscan_and_get_centroids(X, eps, min_samples, dist_matrix)` - Run DBSCAN, return centroids
- `greedy_match(centroids, ground_truth, threshold=100.0)` - Greedy bipartite matching
- `score_image(citsci_points, expert_points, eps, min_samples, w)` - Full per-image scoring
## Usage