ML method · Unsupervised
Anomaly Detection
Finding the rare objects that do not fit any known pattern — the outliers that may be the next new class of transient or a genuinely unexpected discovery. As surveys outgrow human inspection, anomaly detection is how the strangest objects get noticed at all.
Highlights
- ›Finding the objects nobody expected
Methods, data & targets
Used across astro-ML
Knowledge connections
- Associated withClustering
- Associated withClustering
- Associated withReal-Time Alert Classification
- Associated withReal-Time Alert Classification
Sources
The primary and reference sources this topic draws on.
- NASANational Aeronautics and Space Administration
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.