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Semi-supervised Fuzzy Clustering onPartition-level Constraints
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4757-0450-1openalex-snapshot
Pattern Recognition with Fuzzy Objective Function Algorithms
inferredcites →https://doi.org/10.1007/s10115-024-02063-0openalex-snapshot
An incremental clustering algorithm based on semantic concepts
inferredcites →https://doi.org/10.1023/a:1010924920739openalex-snapshot
Reinterpreting the Category Utility Function
inferredcites →https://doi.org/10.1051/itmconf/20224803006openalex-snapshot
Non-negative Matrix Factorization for Dimensionality Reduction
inferredcites →https://doi.org/10.1109/91.227387openalex-snapshot
A possibilistic approach to clustering
inferredcites →https://doi.org/10.1109/afgr.1998.670949openalex-snapshot
Coding facial expressions with Gabor wavelets
inferredcites →https://doi.org/10.1109/tfuzz.2004.840099openalex-snapshot
A possibilistic fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1109/tfuzz.2008.924317openalex-snapshot
Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using $t$-Distributions
inferredcites →https://doi.org/10.1109/tkde.2011.68openalex-snapshot
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
inferredcites →https://doi.org/10.1109/tsp.2013.2261296openalex-snapshot
On Constrained Randomized Quantization
inferredcites →https://doi.org/10.1364/josaa.33.001207openalex-snapshot
Enhanced manifold regularization for semi-supervised classification
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