What are stellar classifications and how are they used?
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- What robust techniques are commonly used in stellar data analysis? How are permutation tests and bootstrapping used for statistical inference in Informatics for Stars?
- What types of simulations require HPC resources?
- How can data mining lead to new discoveries about stars? How is pattern recognition used in Informatics for Stars?
- How is Informatics for Stars used to study exoplanets?
- What constitutes good documentation for astronomical software and data?
- What are common dimensionality reduction techniques?
- How are machine learning classifiers trained and evaluated in astronomy? How is regression used in Informatics for Stars to model relationships between stellar properties?
- How do astronomers access and utilize HPC facilities? How are data transfer rates and storage capacities impacting astronomical research?
- What are the limitations of PCA? How are independent component analysis techniques used to separate mixed signals in astronomical data?
- What are common clustering algorithms?
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