25 citations · 78 across the 6 of their papers we have counts for
6 papers
Anomaly Detection Based on Isolation Mechanisms: A Survey
Yang Cao, Haolong Xiang, Hang Zhang +2
Anomaly detection is a longstanding and active research area that has many applications in domains such as finance, security, and manufacturing. However, the efficiency and perform…
Distribution-Based Trajectory Clustering
Zi Jing Wang, Ye Zhu, Kai Ming Ting
Trajectory clustering enables the discovery of common patterns in trajectory data. Current methods of trajectory clustering rely on a distance measure between two points in order t…
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms
Xin Han, Ye Zhu, Kai Ming Ting +1
Agglomerative hierarchical clustering (AHC) is one of the popular clustering approaches. Existing AHC methods, which are based on a distance measure, have one key issue: it has dif…
Point-Set Kernel Clustering
Kai Ming Ting, Jonathan R. Wells, Ye Zhu
Measuring similarity between two objects is the core operation in existing clustering algorithms in grouping similar objects into clusters. This paper introduces a new similarity m…
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
Ye Zhu, Kai Ming Ting
This paper presents a new insight into improving the performance of Stochastic Neighbour Embedding (t-SNE) by using Isolation kernel instead of Gaussian kernel. Isolation kernel ou…
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Ye Zhu, Kai Ming Ting, Mark Carman +1
The problem of inhomogeneous cluster densities has been a long-standing issue for distance-based and density-based algorithms in clustering and anomaly detection. These algorithms…