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Kernelized K-Means Algorithm Based on Gaussian Kernel

2012
We proposed a kernelized k-means algorithm based on the Gaussian kernel function according to the concepts of support vector clustering and kernel methods. A statistical point of view of robust properties of the proposed method is analyzed. The cluster center estimates obtained by the proposed method can be represented by an M-estimate with a bounded ϕ
Kuo-Lung Wu, You-Jun Lin
openaire   +1 more source

Localized Simple Multiple Kernel K-means

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Xinwang Liu 0002   +6 more
openaire   +1 more source

Multiple Kernel k-Means Clustering by Selecting Representative Kernels

IEEE Transactions on Neural Networks and Learning Systems, 2021
Yaqiang Yao, Yang Li, Bingbing Jiang
exaly  

Sparse Kernel PCA by Kernel K-Means and Preimage Reconstruction Algorithms

2006
Kernel PCA, like other kernel-based techniques, is suffered from memory requirement and computational problems as well as from a tedious training procedure. This work shows that the objective function of Kernel PCA, i.e. the reconstruction error can be upper bounded by the distortion of K-means algorithm in the feature space.
openaire   +1 more source

Discrete and Parameter-Free Multiple Kernel k-Means

IEEE Transactions on Image Processing, 2022
Rong Wang, Jitao Lu, Yihang Lu
exaly  

Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Yihang Lu   +3 more
openaire   +1 more source

Improving a Kernel k-Means Iterative Algorithm

2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2023
openaire   +1 more source

KF K-means: A High Performance K-means Implementation using Kernel Fusion

2023 IEEE International Conference on Big Data (BigData), 2023
Kaiming Ouyang   +4 more
openaire   +1 more source

Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

IEEE Transactions on Image Processing, 2013
Maoguo Gong, Jiao Shi, Wenping Ma
exaly  

A distributed framework for trimmed Kernel k-Means clustering

Pattern Recognition, 2015
Anastasios Tefas, Nikos Nikolaidis
exaly  

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