most citedPersistence Diagrams with Linear Machine Learning Models

8 citations · 8 across the 2 of their papers we have counts for

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math.AT2022

Persistent homology analysis with nonnegative matrix factorization for 3D voxel data of iron ore sinters

Ippei Obayashi, Masao Kimura

This paper proposes a data analysis method using persistent homology and nonnegative matrix factorization. A concatenated persistence image technique is used to extract coexisting…

math.AT2017★ 8 cited

Persistence Diagrams with Linear Machine Learning Models

Ippei Obayashi, Yasuaki Hiraoka

Persistence diagrams have been widely recognized as a compact descriptor for characterizing multiscale topological features in data. When many datasets are available, statistical f…