11 citations · 20 across the 6 of their papers we have counts for
5 papers · 1 filter
On Geometric Alignment in Low Doubling Dimension
Hu Ding, Mingquan Ye
In real-world, many problems can be formulated as the alignment between two geometric patterns. Previously, a great amount of research focus on the alignment of 2D or 3D patterns,…
A Unified Framework for Clustering Constrained Data without Locality Property
Hu Ding, Jinhui Xu
In this paper, we consider a class of constrained clustering problems of points in , where could be rather high. A common feature of these problems is that thei…
Faster Balanced Clusterings in High Dimension
Hu Ding
The problem of constrained clustering has attracted significant attention in the past decades. In this paper, we study the balanced -center, -median, and -means clustering…
On Geometric Prototype And Applications
Hu Ding, Manni Liu
In this paper, we propose to study a new geometric optimization problem called "geometric prototype" in Euclidean space. Given a set of patterns, where each pattern is represented…
A Novel Geometric Approach for Outlier Recognition in High Dimension
Hu Ding, Mingquan Ye
Outlier recognition is a fundamental problem in data analysis and has attracted a great deal of attention in the past decades. However, most existing methods still suffer from seve…