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Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph
Multidimensional datapoint clouds representing large datasets are frequently characterized by non-trivial low-dimensional geometry and topology which can be recovered by unsupervised machine learning approaches, in particular, by principal graphs. Principal graphs approximate the multivariate data b...
שמור ב:
| הוצא לאור ב: | Entropy (Basel) |
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| Main Authors: | , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516753/ https://ncbi.nlm.nih.gov/pubmed/33286070 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22030296 |
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