14 citations · 21 across the 5 of their papers we have counts for
6 papers
An Enhanced Projection Pursuit Tree Classifier with Visual Methods for Assessing Algorithmic Improvements
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper presents enhancements to the projection pursuit tree classifier and visual diagnostic methods for assessing their impact in high dimensions. The original algorithm uses…
SpICE: An interpretable method for spatial data
Natalia da Silva, Ignacio Alvarez-Castro, Leonardo Moreno +1
Statistical learning methods are widely utilized in tackling complex problems due to their flexibility, good predictive performance and its ability to capture complex relationships…
A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data
Stuart Lee, Dianne Cook, Natalia da Silva +4
This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history be…
A Projection Pursuit Forest Algorithm for Supervised Classification
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper presents a new ensemble learning method for classification problems called projection pursuit random forest (PPF). PPF uses the PPtree algorithm introduced in Lee et al.…
Clicks and Cliques. Exploring the Soul of the Community
Natalia da Silva, Ignacio Alvarez-Castro
In the paper we analyze 26 communities across the United States with the objective to understand what attaches people to their community and how this attachment differs among commu…
Interactive Graphics for Visually Diagnosing Forest Classifiers in R
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper describes structuring data and constructing plots to explore forest classification models interactively. A forest classifier is an example of an ensemble, produced by ba…