James D. Tucker

Elastic $k$-means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics

2020 · arXiv (Cornell University)

We propose a new method for clustering of functional data using a $k$-means framework. We work within the elastic functional data analysis framework, which allows for decomposition of the overall variation in functional data into …

Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics

2025 · arXiv (Cornell University)

This paper considers the problem of outlier detection in functional data analysis focusing particularly on the more difficult case of shape outliers. We present an inductive conformal anomaly detection method based on elastic functional distance …