Author

Huiyan Sang

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Preprint Oct 2026

Consistent Spatial Clustering of Complex Objects via Bregman Geometry

Spatial clustering increasingly involves complex objects, including probability distributions, networks, and structured matrices, for which conventional parametric likelihoods may be difficult to specify. We construct a generalized likelihood by exponentiating a cluster-specific Bregman loss on fixed representations of...

S. Bhattacharyya, Hui-Yan Sang · 0 citations

Preprint Sep 2026

DISCCO: Distance-Based Bayesian Spatial Clustering of Complex Objects with Node-Frailty Centrality

Simulations with distribution- and matrix-valued responses show that the proposed spatial distance-clustering framework improves region recovery relative to existing distance-clustering methods, while the frailty layer provides interpretable centrality summaries.

S. Bhattacharyya, Hui-Yan Sang, Bani K. Mallick · 0 citations

Preprint Jul 2026

On Graph-Informed Distance Metrics for Comparing Graph Partitions

Under stochastic block models, it is proved that stronger topological disruptions incur asymptotically larger distances almost surely in both inter-community and intra-community split settings.

S. Bhattacharyya, Huiyan Sang, Bani Mallick · 0 citations