1 citations · 2 across the 2 of their papers we have counts for
4 papers
Distributional Clustering: A distribution-preserving clustering method
Arvind Krishna, Simon Mak, Roshan Joseph
One key use of k-means clustering is to identify cluster prototypes which can serve as representative points for a dataset. However, a drawback of using k-means cluster centers as…
BdryGP: a new Gaussian process model for incorporating boundary information
Liang Ding, Simon Mak, C. F. Jeff Wu
Gaussian processes (GPs) are widely used as surrogate models for emulating computer code, which simulate complex physical phenomena. In many problems, additional boundary informati…
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration
Shiang-Ting Yeh, Xingjian Wang, Chih-Li Sung +5
The present study proposes a data-driven framework trained with high-fidelity simulation results to facilitate decision making for combustor designs. At its core is a surrogate mod…
A regional compound Poisson process for hurricane and tropical storm damage
Simon Mak, Derek Bingham, Yi Lu
In light of intense hurricane activity along the U.S. Atlantic coast, attention has turned to understanding both the economic impact and behaviour of these storms. The compound Poi…