Results 1 to 10 of about 64,418 (166)
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
doaj +2 more sources
A tutorial on spectral clustering [PDF]
Statistics and Computing, 2007 In recent years, spectral clustering has become one of the most popular modern clustering algorithms. It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms traditional clustering algorithms such as the k-means algorithm.
Ulrike Von Luxburg
exaly +4 more sources
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
doaj +2 more sources
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, Jin Xie, Xuelong Li
exaly +3 more sources
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
doaj +1 more source
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
doaj +2 more sources
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
openaire +2 more sources
Quantum spectral clustering [PDF]
Physical Review A, 2021 Spectral clustering is a powerful unsupervised machine learning algorithm for clustering data with non convex or nested structures. With roots in graph theory, it uses the spectral properties of the Laplacian matrix to project the data in a low-dimensional space where clustering is more efficient.
Iordanis Kerenidis, Jonas Landman
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source