Estimating the distribution of Galaxy Morphologies on a continuous space

• DOI: 10.48550/arxiv.1406.7536
• Publication Date: 2014-01-01
• Authors: Giuseppe Vinci; Peter Freeman; Jeffrey A. Newman; Larry Wasserman; Christopher R. Ge...
• Keywords: Manifold (fluid mechanics); Statistical Inference

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