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Mnist4

Mnist has a training set of 10000 examples, and the first four categories(0-3) of it, i.e., the first 4000 samples form a subset called Mnist4. It is divided into 4 categories and described by 3 different features: 30 Isometric Projection (IP), 9 Linear Discriminant Analysis (LDA) and 30 Neigh-bourhood Preserving Embedding (NPE).

Data and Resources

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Cite this as

Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao (2024). Dataset: Mnist4. https://doi.org/10.57702/1n86wx79

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2303.16748
Citation	https://doi.org/10.48550/arXiv.2305.07213
Author	Jing Li
More Authors	Quanxue Gao Qianqian Wang Wei Xia Xinbo Gao
Homepage	https://ieeexplore.ieee.org/document/9361111