# Estimating the distribution of Galaxy Morphologies on a continuous space

arXiv: https://arxiv.org/abs/1406.7536 · HTML: https://mlsanity.com/paper/1406.7536/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Jun 2014.

## Built on by (most cited first, 1 of 1)

- [Spiral-Elliptical automated galaxy morphology classification from telescope images](https://mlsanity.com/paper/2310.07740/) (2023)

## Abstract (arXiv)

The incredible variety of galaxy shapes cannot be summarized by human defined discrete classes of shapes without causing a possibly large loss of information. Dictionary learning and sparse coding allow us to reduce the high dimensional space of shapes into a manageable low dimensional continuous vector space. Statistical inference can be done in the reduced space via probability distribution estimation and manifold estimation.