Kai Ming Ting

Latest

Towards a Persistence Diagram that is Robust to Noise and Varied Densities
Kernel-based clustering via Isolation Distributional Kernel
A new distributional treatment for time series and an anomaly detection investigation
Streaming Hierarchical Clustering Based on Point-Set Kernel
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
Lowest probabilitymass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms
A Distance Scaling Method to Improve Density-Based Clustering
Grouping Points by Shared Subspaces for Effective Subspace Clustering
Anomaly detection of aircraft lead-acid battery
Isolation‐based anomaly detection using nearest‐neighbor ensembles
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure
Density-ratio based clustering for discovering clusters with varying densities