REDUKSI DIMENSI DATA GAIA-ESO SURVEY PDR 4 DENGAN PCA DAN AUTOENCODER
Rapid development of astronomical data in terms of its size and complexity creates many opportunities as well as new challenges to explore new knowledge from observations. However, the high dimensionality of astronomical data, such as spectra, makes it difficult to fully explore the information t...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/66257 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |