most citedPCA-Based Out-of-Sample Extension for Dimensionality Reduction

15 citations · 17 across the 2 of their papers we have counts for

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stat.ML2015

Diffusion Representations

Moshe Salhov, Amit Bermanis, Guy Wolf +1

Diffusion Maps framework is a kernel based method for manifold learning and data analysis that defines diffusion similarities by imposing a Markovian process on the given dataset.…

stat.ML2015★ 15 cited

PCA-Based Out-of-Sample Extension for Dimensionality Reduction

Yariv Aizenbud, Amit Bermanis, Amir Averbuch

Dimensionality reduction methods are very common in the field of high dimensional data analysis. Typically, algorithms for dimensionality reduction are computationally expensive. T…