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Sep 2, 2024 -
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions
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MD5: 653fd441f9e13c72c3693da074983082
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Dec 7, 2022
Görtler, Jochen; Spinner, Thilo; Weiskopf, Daniel; Deussen, Oliver, 2022, "Replication Data for: Uncertainty-Aware Principal Component Analysis", https://doi.org/10.18419/DARUS-2321, DaRUS, V1
This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with UA-PCA. The software is a JavaScript library for performing principal component analysis and dimensionality reduction on datasets consisting of multivariate probability distri... |
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