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Localized Simple Multiple Kernel K-means
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Xinwang Liu 0002 +6 more
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Multiple Kernel k-Means Clustering by Selecting Representative Kernels
IEEE Transactions on Neural Networks and Learning Systems, 2021Yaqiang Yao, Yang Li, Bingbing Jiang
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Sparse Kernel PCA by Kernel K-Means and Preimage Reconstruction Algorithms
2006Kernel 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.
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Discrete and Parameter-Free Multiple Kernel k-Means
IEEE Transactions on Image Processing, 2022Rong Wang, Jitao Lu, Yihang Lu
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Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Yihang Lu +3 more
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Improving a Kernel k-Means Iterative Algorithm
2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2023openaire +1 more source
KF K-means: A High Performance K-means Implementation using Kernel Fusion
2023 IEEE International Conference on Big Data (BigData), 2023Kaiming Ouyang +4 more
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Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
IEEE Transactions on Image Processing, 2013Maoguo Gong, Jiao Shi, Wenping Ma
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A distributed framework for trimmed Kernel k-Means clustering
Pattern Recognition, 2015Anastasios Tefas, Nikos Nikolaidis
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Interval kernel Fuzzy C-Means clustering of incomplete data
Neurocomputing, 2017Tianhao Li +2 more
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