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stat.ML2024
Forest Proximities for Time Series
Ben Shaw, Jake Rhodes, Soukaina Filali Boubrahimi +1
RF-GAP has recently been introduced as an improved random forest proximity measure. In this paper, we present PF-GAP, an extension of RF-GAP proximities to proximity forests, an ac…
stat.ML2023
Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities
Jake S. Rhodes
Manifold learning approaches seek the intrinsic, low-dimensional data structure within a high-dimensional space. Mainstream manifold learning algorithms, such as Isomap, UMAP, -…
stat.ML2020
Supervised Visualization for Data Exploration
Jake S. Rhodes, Adele Cutler, Guy Wolf +1
Dimensionality reduction is often used as an initial step in data exploration, either as preprocessing for classification or regression or for visualization. Most dimensionality re…