research
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07/01/2022
Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferri...
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research
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07/01/2022
A geometric framework for outlier detection in high-dimensional data
Outlier or anomaly detection is an important task in data analysis. We d...
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09/14/2021
A geometric perspective on functional outlier detection
We consider functional outlier detection from a geometric perspective, s...
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06/04/2021
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
In recent years, the need for neutral benchmark studies that focus on th...
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12/22/2020
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
In recent years, manifold methods have moved into focus as tools for dim...
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03/07/2020
