Results 11 to 20 of about 64,517 (265)
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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Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
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Proceedings of the AAAI Conference on Artificial Intelligence, 2020 In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a fixed task set, which cannot incorporate with a new spectral clustering task without accessing to previously learned tasks.
Gan Sun +4 more
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Federated Multi-View Spectral Clustering
IEEE Access, 2020 Multi-view spectral clustering (MVSC) has become a popular approach to harvest knowledge about group information from multiple views of data, owned by different parties. A high quality MVSC approach usually requires collecting massive amount of data from
Hongtao Wang +4 more
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Image segmentation by selecting eigenvectors based on extended information entropy
IET Image Processing, 2023 For spectral clustering algorithm, the quality of eigenvectors of graph affinity matrix is very important for the clustering result. So, how to obtain highâquality eigenvectors is crucial.
Daming Zhang, Xueyong Zhang, Huayong Liu
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Spectral camera clustering [PDF]
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009 We propose an algorithm for clustering large sets of images of a scene into smaller subsets covering different parts of the scene suitable for 3D reconstruction. Unlike the canonical view selection of [13], we do not focus only on the visibility information, but introduce an alternative similarity measure which takes into account the relative camera ...
Alexander Ladikos +2 more
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