25 citations · 39 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
Breaking the curse of dimensionality with Isolation Kernel
Kai Ming Ting, Takashi Washio, Ye Zhu +1
The curse of dimensionality has been studied in different aspects. However, breaking the curse has been elusive. We show for the first time that it is possible to break the curse u…
cs.LG2020★ 25 cited
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…
cs.LG2019★ 8 cited
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…