Kernel clustering: density biases and solutions

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Kernel clustering: density biases and solutions

16 May 2017

Ismail Ben Ayed

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Papers citing "Kernel clustering: density biases and solutions"

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Title
Distributed Clustering based on Distributional Kernel Hang Zhang Yang Xu Lei Gong Ye Zhu Kai Ming Ting 36 0 0 14 Sep 2024
Unsupervised Domain Adaptation via Distilled Discriminative Clustering Hui Tang Yaowei Wang Kui Jia OOD 60 44 0 23 Feb 2023
Rectified Euler k-means and Beyond Yunxia Lin Songcan Chen 10 3 0 06 Aug 2021
Adaptive Explicit Kernel Minkowski Weighted K-means Amir Aradnia M. Haeri M. Ebadzadeh 13 25 0 04 Dec 2020
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms Xin Han Ye Zhu Kai Ming Ting Gang Li 47 16 0 12 Oct 2020
Point-Set Kernel Clustering Kai Ming Ting Jonathan R. Wells Ye Zhu 35 7 0 14 Feb 2020
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel Ye Zhu Kai Ming Ting 44 9 0 24 Jun 2019
Deep Discriminative Clustering Analysis Jianlong Chang Yiwen Guo Lingfeng Wang Gaofeng Meng Shiming Xiang Chunhong Pan 78 49 0 05 May 2019
Deep clustering: On the link between discriminative models and K-means Mohammed Jabi M. Pedersoli A. Mitiche Ismail Ben Ayed 76 109 0 09 Oct 2018
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 30 13 0 05 Oct 2018