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Enhancement of the Classification Performance of Fuzzy C-Means through Uncertainty Reduction with Cloud Model Interpolation

https://doi.org/10.3390/math12070975

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

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An Automatic Fuzzy Clustering Algorithm for Discrete Elements

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Design of fuzzy rule-based models with fuzzy relational factorization

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Enhancement of fuzzy clustering by mechanisms of partial supervision

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Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study

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Fuzzy clustering of time series with time-varying memory

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Enhancements of rule-based models through refinements of Fuzzy C-Means

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Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm

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CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems

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Design of Distributed Rule-Based Models in the Presence of Large Data

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High-Accuracy Signal Subspace Separation Algorithm Based on Gaussian Kernel Soft Partition

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A study of various Fuzzy Clustering Algorithms

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Augmentation of Soft Partition with a Granular Prototype Based Fuzzy C-Means

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Fuzzy Classifier Based on Mamdani Inference and Statistical Features of the Target Population

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