114 citations · 241 across the 5 of their papers we have counts for
5 papers
Crime Topic Modeling
Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi
The classification of crime into discrete categories entails a massive loss of information. Crimes emerge out of a complex mix of behaviors and situations, yet most of these detail…
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
Wei Zhu, Victoria Chayes, Alexandre Tiard +6
In this paper, a graph-based nonlocal total variation method (NLTV) is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by…
A Harmonic Extension Approach for Collaborative Ranking
Da Kuang, Zuoqiang Shi, Stanley Osher +1
We present a new perspective on graph-based methods for collaborative ranking for recommender systems. Unlike user-based or item-based methods that compute a weighted average of ra…
Fast Clustering and Topic Modeling Based on Rank-2 Nonnegative Matrix Factorization
Da Kuang, Barry Drake, Haesun Park
The importance of unsupervised clustering and topic modeling is well recognized with ever-increasing volumes of text data. In this paper, we propose a fast method for hierarchical…
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization
Nicolas Gillis, Da Kuang, Haesun Park
In this paper, we design a hierarchical clustering algorithm for high-resolution hyperspectral images. At the core of the algorithm, a new rank-two nonnegative matrix factorization…