Results 21 to 30 of about 74,563 (305)
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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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
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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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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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On evolutionary spectral clustering [PDF]
ACM Transactions on Knowledge Discovery from Data, 2009 Evolutionary clustering is an emerging research area essential to important applications such as clustering dynamic Web and blog contents and clustering data streams. In evolutionary clustering, a good clustering result should fit the current data well, while simultaneously not deviate too dramatically from the recent history.
Yun Chi +4 more
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