Nearest-Neighbour-Induced Isolation Similarity and its Impact on
Density-Based Clustering

Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering

30 June 2019

Vincent C. S. Lee

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Papers citing "Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering"

11 / 11 papers shown

Title
SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption Hao Shu 104 0 0 17 Feb 2025
Anomaly Detection Based on Isolation Mechanisms: A Survey Yang Cao Haolong Xiang Hang Zhang Ye Zhu Kai Ming Ting OOD 81 3 0 16 Mar 2024
A principled distributional approach to trajectory similarity measurement Yufan Wang Kai Ming Ting Yuanyi Shang 44 0 0 01 Jan 2023
Detecting Change Intervals with Isolation Distributional Kernel Yang Cao Ye Zhu Kai Ming Ting Flora D. Salim Hong Xian Li Luxing Yang Gang Li 61 1 0 30 Dec 2022
Breaking the curse of dimensionality with Isolation Kernel Kai Ming Ting Takashi Washio Ye Zhu Yang Xu 75 2 0 29 Sep 2021
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms Xin Han Ye Zhu Kai Ming Ting Gang Li 52 16 0 12 Oct 2020
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection Kai Ming Ting Bi-Cun Xu Takashi Washio Zhi Zhou OOD 47 8 0 24 Sep 2020
Point-Set Kernel Clustering Kai Ming Ting Jonathan R. Wells Ye Zhu 72 7 0 14 Feb 2020
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning Kai Ming Ting Jonathan R. Wells Takashi Washio 62 7 0 02 Jul 2019
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel Ye Zhu Kai Ming Ting 65 9 0 24 Jun 2019
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities Ye Zhu Kai Ming Ting Mark J. Carman M. Angelova 72 13 0 05 Oct 2018