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Title
Fast Fuzzy Clustering Based on Anchor Graph
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 7, Pages 2375-2387
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-05-20
DOI
10.1109/tfuzz.2021.3081990
References
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Related references
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- Fast unsupervised feature selection with anchor graph and ℓ2,1-norm regularization
- (2018) Haojie Hu et al. MULTIMEDIA TOOLS AND APPLICATIONS
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- (2018) Li He et al. IEEE Transactions on Cybernetics
- Semi-Supervised Metric Learning-Based Anchor Graph Hashing for Large-Scale Image Retrieval
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- Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training
- (2018) IEEE Transactions on Neural Networks and Learning Systems
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- A review of clustering techniques and developments
- (2017) Amit Saxena et al. NEUROCOMPUTING
- Improved fuzzy clustering algorithm with non-local information for image segmentation
- (2016) Xiaofeng Zhang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Joint Schatten $$p$$ p -norm and $$\ell _p$$ ℓ p -norm robust matrix completion for missing value recovery
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- Multiple Kernel Fuzzy Clustering
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- A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises
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- Clustered Nyström Method for Large Scale Manifold Learning and Dimension Reduction
- (2010) Kai Zhang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
- (2008) M.J. Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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