Mercator: A pipeline for multi-method, unsupervised visualization and distance generation
Unsupervised machine learning provides tools for researchers to uncover latent patterns in large-scale data, based on calculated distances between observations. Methods to visualize high-dimensional data based on these distances can elucidate subtypes and interactions within multi-dimensional and hi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |