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Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with application-specific metrics.

tasks/mars-clouds-clustering/environment/skills/custom-distance-metrics/SKILL.md

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# Custom Distance Metrics

Custom distance metrics allow you to define application-specific notions of similarity or distance between data points.

## Defining Custom Metrics for sklearn

sklearn's DBSCAN accepts a callable as the `metric` parameter:

```python
from sklearn.cluster import DBSCAN

def my_distance(point_a, point_b):
    """Custom distance between two points."""
    # point_a and point_b are 1D arrays
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