Source Code for Uncertainty-Aware Multidimensional Scaling
收藏DataCite Commons2024-12-10 更新2025-04-17 收录
下载链接：
https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-2995
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资源简介：
<p>This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language.<br>
UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space, e.g. 1D, 2D or 3D for visualization.</p>
This dataset only contains the core components for performing UAMDS without any accompanying visualization techniques.
提供机构：
DaRUS
创建时间：
2022-06-21
