May 30, 2019 · In this work, we propose the clustered Gaussian graphical model (GGM) and a novel symmetric convex clustering penalty in an unified convex ...

ABSTRACT. Knowledge of functional groupings of neurons can shed light on structures of neural circuits and is valuable in many types.

This work proposes the clustered Gaussian graphical model (GGM) and a novel symmetric convex clustering penalty in an unified convex optimization framework ...

Unlike (Yao and Allen 2019) , who introduced convex clustering in GGMs, our approach is expected to produce sparse estimations, thanks to an additional penalty.

Clustered Gaussian Graphical Model Via Symmetric Convex Clustering. Tianyi Yao, Genevera I. Allen. Clustered Gaussian Graphical Model Via Symmetric Convex ...

Jun 30, 2024 · Specifically, we integrate convex clustering into the GGM framework to reduce estimation variability through the pooling of estimates for ...

Co-authors ; Clustered Gaussian Graphical Model via Symmetric Convex Clustering. T Yao, GI Allen. 2019 IEEE Data Science Workshop (DSW), 76-82, 2019. 6, 2019.

Clustered Gaussian Graphical Model via Symmetric Convex Clustering ... Knowledge of functional groupings of neurons can shed light on structures of neural ...

27. T. Yao and G. I. Allen, “Clustered Gaussian Graphical Model via Symmetric Convex Clustering”, In Proceedings of the IEEE Data Science Workshop, 2019.

Abstract. Graphical models are commonly used to represent conditional dependence relationships between variables. There are multiple methods available for ...