62 citations · 80 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
Mimi Zhang, Andrew Parnell, Dermot Brabazon +1
Bayesian optimization (BO) is an approach to globally optimizing black-box objective functions that are expensive to evaluate. BO-powered experimental design has found wide applica…
Weighted Clustering Ensemble: A Review
Mimi Zhang
Clustering ensemble, or consensus clustering, has emerged as a powerful tool for improving both the robustness and the stability of results from individual clustering methods. Weig…