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20182021
most citedUnsupervised learning-based structural analysis: Search for a characteristic low-dimensional space by local structures in atomistic simulations

12 citations · 15 across the 3 of their papers we have counts for

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stat.ML2018★ 3 cited

Spectral feature scaling method for supervised dimensionality reduction

Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai

Spectral dimensionality reduction methods enable linear separations of complex data with high-dimensional features in a reduced space. However, these methods do not always give the…