☆ 4.5 Article

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2023)

Interactive Slice Visualization for Exploring Machine Learning Models

Catherine B. Hurley et al.

Summary: This article introduces the use of interactive visualization and different touring algorithms to address the interpretability issue of machine learning algorithms.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2022)

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Article Statistics & Probability

Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions

Ursula Laa et al.

Summary: Multivariate data is often visualized using linear projections, but projections can obscure low and high density regions near the center. This article introduces a section pursuit method to reveal these regions through optimized slices and dynamic structure search. The method is useful for non-uniform or non-normal data distributions, and shows two applications.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2022)

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Review Statistics & Probability

The state-of-the-art on tours for dynamic visualization of high-dimensional data

Stuart Lee et al.

Summary: This article explores a high-dimensional visualization technique known as the tour, which allows for viewing data in more than three dimensions. It covers the theory, history, software developments, and applications of the tour across various fields. Categorized under statistical and graphical methods of data analysis, statistical graphics and visualization, and statistical learning and exploratory methods of the data sciences.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2022)

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Article Statistics & Probability