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About Machine Learning PDF
This document summarizes Andrea Hidalgo's summer research internship exploring clustering techniques to analyze astronomical image data. It describes her initial lack of background in astronomy, her objective to transform high-dimensional astronomical data sets into lower-dimensional understandable information like graphs and clusters. It then details her first ideas involving superpixel segmentation and PCA, her process of learning about the topic, and experiments applying methods like ESOM and CSOM clustering to image data from the M83 galaxy to discover patterns across different wavelengths.
Detailed Information
| Author: | ['George Wash'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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