Results 11 to 20 of about 234,781 (273)
Spectral Clustering by Joint Spectral Embedding and Spectral Rotation [PDF]
IEEE Transactions on Cybernetics, 2020 Spectral clustering is an important clustering method widely used for pattern recognition and image segmentation. Classical spectral clustering algorithms consist of two separate stages: 1) solving a relaxed continuous optimization problem to obtain a real matrix followed by 2) applying K -means or spectral rotation to round the real matrix (i.e ...
Yanwei, Pang +3 more
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Power Spectral Clustering [PDF]
Journal of Mathematical Imaging and Vision, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Challa, Aditya +3 more
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A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation [PDF]
PeerJ Computer Science, 2021 The Kmeans clustering and spectral clustering are two popular clustering methods for grouping similar data points together according to their similarities.
Wenna Huang +3 more
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مجلة بغداد للعلوم, 2021 This study focused on spectral clustering (SC) and three-constraint affinity matrix spectral clustering (3CAM-SC) to determine the number of clusters and the membership of the clusters of the COST 2100 channel model (C2CM) multipath dataset ...
Jojo Blanza
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Hierarchical kernel spectral clustering [PDF]
Neural Networks, 2012 Kernel spectral clustering fits in a constrained optimization framework where the primal problem is expressed in terms of high-dimensional feature maps and the dual problem is expressed in terms of kernel evaluations. An eigenvalue problem is solved at the training stage and projections onto the eigenvectors constitute the clustering model.
Alzate Perez, Carlos, Suykens, Johan
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A Spectral Clustering Algorithm Based on Fuzzy Kernel Clustering [PDF]
Jisuanji gongcheng, 2017 Spectral clustering eigenvector of the Laplace matrix is not limited to the distribution shape of the original data and can converge to the global optimal solution,but it cannot accurately reflect the actual relationship between samples.However,fuzzy ...
FAN Zijing,LUO Ze,MA Yongzheng
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Optimized clustering method for spectral reflectance recovery
Frontiers in Psychology, 2022 An optimized method based on dynamic partitional clustering was proposed for the recovery of spectral reflectance from camera response values. The proposed method produced dynamic clustering subspaces using a combination of dynamic and static clustering,
Yifan Xiong +3 more
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Fast Graph Clustering Algorithm Based on Selection of Key Nodes
Jisuanji kexue yu tansuo, 2021 Spectral clustering has attracted extensive attention as a typical graph clustering algorithm among clustering algorithms since it has really strong adaptability to complex data distribution and great clustering effect.
YOU Fangzhou, BAI Liang
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Brain tumour segmentation from MRI using superpixels based spectral clustering
Journal of King Saud University: Computer and Information Sciences, 2020 The automated brain tumour segmentation method is becoming challenging in the field of medical research as a brain tumour emerges with diverse size, shape and intensity.
Angulakshmi Maruthamuthu +1 more
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Spectral clustering based on the local similarity measure of shared neighbors
ETRI Journal, 2022 Spectral clustering has become a typical and efficient clustering method used in a variety of applications. The critical step of spectral clustering is the similarity measurement, which largely determines the performance of the spectral clustering method.
Zongqi Cao, Hongjia Chen, Xiang Wang
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