2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
Samuel Singh, Shirley Coyle, Mimi Zhang
We introduce FAEclust, a novel functional autoencoder framework for cluster analysis of multi-dimensional functional data, data that are random realizations of vector-valued random…
stat.AP2025
Ireland Topsoil Contamination Analysis: A Clustering Approach
Mimi Zhang
This study investigates topsoil contamination in Ireland using geochemical data from the Tellus Programme, analyzing 4,278 soil samples across 17,983 square kilometer. The research…
stat.ME2024★ 2 cited
Co-Clustering Multi-View Data Using the Latent Block Model
Joshua Tobin, Michaela Black, James Ng +11
The Latent Block Model (LBM) is a prominent model-based co-clustering method, returning parametric representations of each block cluster and allowing the use of well-grounded model…