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An improved multi-view spectral clustering based on tissue-like P systems [PDF]
Scientific Reports, 2022 Multi-view spectral clustering is one of the multi-view clustering methods widely studied by numerous scholars. The first step of multi-view spectral clustering is to construct the similarity matrix of each view.
Huijian Chen, Xiyu Liu
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Spectral Clustering Community Detection Algorithm Based on Point-Wise Mutual Information Graph Kernel [PDF]
Entropy, 2023 To address the problem that traditional spectral clustering algorithms cannot obtain the complete structural information of networks, this paper proposes a spectral clustering community detection algorithm, PMIK-SC, based on the point-wise mutual ...
Yinan Chen, Wenbin Ye, Dong Li
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Differentially Private Hierarchical Spectral Clustering [PDF]
EntropyWe study hierarchical spectral graph clustering under edge differential privacy (DP) through the lens of iterative eigenvector estimation on adjacency matrices. We propose a differentially private recursive spectral framework, where each binary partition
Mohamed Seif Mohamed +1 more
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Fair Method for Spectral Clustering to Improve Intra-cluster Fairness [PDF]
Jisuanji kexue, 2023 Recently,the fairness of the algorithm has aroused extensive discussion in the machine learning community.Given the widespread popularity of spectral clustering in modern data science,studying the algorithm fairness of spectral clustering is a crucial ...
XU Xia, ZHANG Hui, YANG Chunming, LI Bo, ZHAO Xujian
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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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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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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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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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