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Benchmark dataset for joint multi-omics dimensionality reduction approaches
The dataset used in the paper is a benchmark dataset for joint multi-omics dimensionality reduction approaches. -
GAN-EM: GAN based EM Learning Framework
GAN-EM: A GAN based EM Learning Framework for image clustering, semi-supervised classification and dimensionality reduction. -
Real-world dataset for personalized federated unsupervised learning
The dataset used in the paper is a real-world dataset for personalized federated unsupervised learning. It is used to evaluate the performance of the proposed algorithms for... -
Synthetic dataset for personalized federated unsupervised learning
The dataset used in the paper is a synthetic dataset for personalized federated unsupervised learning. It is generated by sampling a global PC, V ∗ ∈ St(d, r), uniformly on the... -
t-SNE for Data Visualization in Structural Engineering
The dataset is a binary data set stemming from computational models of earthquake ground motions in structural engineering. -
RADAR (Research Data Repository)
Imported
Molecular dynamics simulation data and analysis workflow for studying bivalen...
Abstract: The underlying study focused on ligand binding of bivalent ligands to the guanidine-II riboswitch. The dataset was generated using MD simulations and Machine Learning...
