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Unsupervised Multiview Fuzzy C-Means Clustering Algorithm

https://doi.org/10.3390/electronics12214467

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Pattern classification problems and fuzzy sets

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Multi-view fuzzy clustering with minimax optimization for effective clustering of data from multiple sources

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Deterministic annealing Gustafson-Kessel fuzzy clustering algorithm

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Graph-regularized least squares regression for multi-view subspace clustering

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Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters

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Collaborative feature-weighted multi-view fuzzy c-means clustering

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Collaborative fuzzy clustering

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Objective Criteria for the Evaluation of Clustering Methods

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CoFKM: A Centralized Method for Multiple-View Clustering

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Multi-view Clustering via Concept Factorization with Local Manifold Regularization

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Collaborative Fuzzy Clustering From Multiple Weighted Views

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Analysis of Parameter Selection for Gustafson–Kessel Fuzzy Clustering Using Jacobian Matrix

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A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data

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Weighted Multiview Possibilistic C-Means Clustering With L2 Regularization

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GMC: Graph-Based Multi-View Clustering

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Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View

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On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

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Co-clustering documents and words using bipartite spectral graph partitioning

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Reviews on Determining the Number of Clusters

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PARSAT: Fuzzy logic for adaptive spatial ability training in an augmented reality system

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Model-Based Gaussian and Non-Gaussian Clustering

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