3 papers
cs.LG2025
SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
Justin Lin, Julia Fukuyama
In this growing age of data and technology, large black-box models are becoming the norm due to their ability to handle vast amounts of data and learn incredibly complex input-outp…
stat.AP2025
DRtool: An Interactive Tool for Analyzing High-Dimensional Clusterings
Justin Lin, Julia Fukuyama
When faced with new data, we often conduct a cluster analysis to obtain a better understanding of the data's structure and the archetypical samples present in the data. This proces…
stat.AP2023
Calibrating dimension reduction hyperparameters in the presence of noise
Justin Lin, Julia Fukuyama
The goal of dimension reduction tools is to construct a low-dimensional representation of high-dimensional data. These tools are employed for a variety of reasons such as noise red…