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Publication search results
found 218 matches
- 2024
- Anum Farooq, Kashif Hussain Memon:
Kernel possibilistic fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering. Fuzzy Sets Syst. 477: 108792 (2024) - J. Relin Francis Raj, K. Vijayalakshmi, S. Kavi Priya, Ahilan Appathurai:
Brain tumor segmentation based on kernel fuzzy c-means and penguin search optimization algorithm. Signal Image Video Process. 18(2): 1793-1802 (2024) - Chandan Singh, Sukhjeet Kaur Ranade, Dalvinder Kaur, Anu Bala:
A kernelized-bias-corrected fuzzy C-means approach with moment domain filtering for segmenting brain magnetic resonance images. Soft Comput. 28(3): 1909-1933 (2024) - Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng:
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering. CoRR abs/2403.03448 (2024) - 2023
- Jiali You, Chiyu Han, Zhenwen Ren, Haoran Li, Xiaojian You:
Clustering via multiple kernel k-means coupled graph and enhanced tensor learning. Appl. Intell. 53(3): 2564-2575 (2023) - Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu, Xinzhong Zhu:
Simple multiple kernel k-means with kernel weight regularization. Inf. Fusion 100: 101902 (2023) - Alireza Dehghani, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin:
A novel missing value imputation relying on K-means clustering and kernel-based weighting using grey relation (KWGI). J. Intell. Fuzzy Syst. 44(4): 5675-5697 (2023) - Cuiling Chen, Jian Wei, Zhi Li:
Multiple kernel k-means clustering with block diagonal property. Pattern Anal. Appl. 26(3): 1515-1526 (2023) - Xinwang Liu:
SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5174-5186 (2023) - Xinwang Liu:
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8566-8576 (2023) - Xin Guan, Yoshikazu Terada:
Sparse kernel k-means for high-dimensional data. Pattern Recognit. 144: 109873 (2023) - Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong:
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. 16(5): 436-455 (2023) - Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu:
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. 53(6): 3479-3492 (2023) - Luefeng Chen, Kuanlin Wang, Min Li, Min Wu, Witold Pedrycz, Kaoru Hirota:
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human-Robot Interaction. IEEE Trans. Ind. Electron. 70(1): 1016-1024 (2023) - Rong Yin, Yong Liu, Weiping Wang, Dan Meng:
Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm. IEEE Trans. Knowl. Data Eng. 35(9): 9210-9224 (2023) - Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen:
KF K-means: A High Performance K-means Implementation using Kernel Fusion. IEEE Big Data 2023: 121-127 - Bernd-Jürgen Falkowski:
Improving a Kernel k-Means Iterative Algorithm. CISP-BMEI 2023: 1-5 - 2022
- Ani Davis Kochuveettil, Raj Mathew:
A novel approach to fuzzy c-Means clustering using kernel function. Intell. Decis. Technol. 16(4): 643-651 (2022) - Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao:
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing 501: 715-726 (2022) - Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. Inf. Sci. 584: 503-518 (2022) - Peter Karpov:
Design of Low-Artifact Interpolation Kernels by Means of Computer Algebra. Math. Comput. Sci. 16(2-3): 19 (2022) - Jie Hu, Min Wu, Luefeng Chen, Kailong Zhou, Pan Zhang, Witold Pedrycz:
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process. IEEE Trans. Cybern. 52(6): 4751-4763 (2022) - Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li:
Discrete and Parameter-Free Multiple Kernel k-Means. IEEE Trans. Image Process. 31: 2796-2808 (2022) - Shota Saito:
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. AAAI 2022: 8141-8149 - Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. CIKM 2022: 4279-4283 - Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Self-Paced and Discrete Multiple Kernel k-Means. CIKM 2022: 4284-4288 - Yihang Lu, Jitao Lu, Rong Wang, Feiping Nie:
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. ICASSP 2022: 4153-4157 - Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li:
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. ICASSP 2022: 4143-4147 - Yihang Lu, Xuan Zheng, Rong Wang, Feiping Nie, Xuelong Li:
A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization. ICPR 2022: 4934-4940
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