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Novel Classification Algorithm for Complex Class Structures
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A competitive learning scheme for deep neural network pattern classifier training
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Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development
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A fuzzy C-means algorithm for optimizing data clustering
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An Efficient Signature Recognition System Based on Gradient Features and Neural Network Classifier
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General fuzzy min-max neural network for clustering and classification
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K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
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An Improved Fuzzy Min–Max Neural Network for Data Classification
inferredcites →https://doi.org/10.14569/ijacsa.2021.0120670openalex-extracted
Classification Model Evaluation Metrics
inferredcites →https://doi.org/10.3390/a13070158openalex-extracted
Fuzzy C-Means Clustering Algorithm with Multiple Fuzzification Coefficients
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SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot
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Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection
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A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification
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Classification of Histopathological Images using Scale-Invariant Feature Transform
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Partition Coefficient and Partition Entropy in Fuzzy C Means Clustering
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