A review of learning vector quantization classifiers
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Abstract (arXiv)
In this work we present a review of the state of the art of Learning Vector Quantization (LVQ) classifiers. A taxonomy is proposed which integrates the most relevant LVQ approaches to date. The main concepts associated with modern LVQ approaches are defined. A comparison is made among eleven LVQ classifiers using one real-world and two artificial datasets.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Sep 2015.
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Citing papers per year: 2021: 7; 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
11 papers.
- 2021Prototype Guided Federated Learning of Visual Feature Representationscited by 22
- 2021Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computingcited by 12
- 2021Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computingcited by 8
- 2021Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networkscited by 7
- 2022Explaining Reject Options of Learning Vector Quantization Classifierscited by 7
- 2025Harmonic Loss Trains Interpretable AI Modelscited by 4
- 2021Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognitioncited by 3
- 2021Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matricescited by 1
- 2021Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional datacited by 0
- 2024Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspacescited by 0
- 2026FastODT: A tree-based framework for efficient continual learningcited by 0
- 2026FastODT: A tree-based framework for efficient continual learning27 Feb 2026
- 2025Harmonic Loss Trains Interpretable AI Models3 Feb 2025
- 2024Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces23 Jan 2024
- 2022Explaining Reject Options of Learning Vector Quantization Classifiers15 Feb 2022
- 2021Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data28 Sep 2021
- 2021Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition7 Sep 2021
- 2021Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing17 Jun 2021
- 2021Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks2 Jun 2021
- 2021Prototype Guided Federated Learning of Visual Feature Representations19 May 2021
- 2021Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing9 Mar 2021
- 2021Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices1 Feb 2021