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A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification

https://doi.org/10.1109/tsmcc.2010.2103939

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What this work says

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Data Mining: Practical Machine Learning Tools and Techniques

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Evaluation of k-Nearest Neighbor classifier performance for direct marketing

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Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

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High training set size reduction by space partitioning and prototype abstraction

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Prototype selection for dissimilarity-based classifiers

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Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces

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A memetic algorithm for evolutionary prototype selection: A scaling up approach

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IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule

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Advances in Instance Selection for Instance-Based Learning Algorithms

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Evolutionary Design of Nearest Prototype Classifiers

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Introduction to Machine Learning

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Vector quantization technique for nonparametric classifier design

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inferredcites →https://doi.org/10.1109/72.80344openalex-snapshot

Adaptive nearest neighbor pattern classification

inferredcites →https://doi.org/10.1109/t-c.1974.223827openalex-snapshot

Finding Prototypes For Nearest Neighbor Classifiers

inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot

Nearest neighbor pattern classification

inferredcites →https://doi.org/10.1109/tit.1968.1054155openalex-snapshot

The condensed nearest neighbor rule (Corresp.)

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inferredcites →https://doi.org/10.1109/tpami.2009.164openalex-snapshot

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Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey

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The Handbook of Parametric and Nonparametric Statistical Procedures

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COEVOLUTION OF NEAREST NEIGHBOR CLASSIFIERS

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CLASSIFICATION OF IMBALANCED DATA: A REVIEW

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PROTOTYPE CLASSIFIER DESIGN WITH PRUNING

inferredcites →https://doi.org/10.1162/evco.2009.17.3.275openalex-snapshot

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

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The Top Ten Algorithms in Data Mining

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Similarity-based Classification: Concepts and Algorithms

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Machine learning and data mining: introduction to principles and algorithms

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A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset

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Three-objective constrained evolutionary instance selection for classification: Wrapper and filter approaches

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Length of stay prediction for clinical treatment process using temporal similarity

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Reprint of “Length of stay prediction for clinical treatment process using temporal similarity”

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A new nearest neighbor classification method based on fuzzy set theory and aggregation operators

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DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models

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Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning

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Ranking-based instance selection for pattern classification

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An optimized nearest prototype classifier for power plant fault diagnosis using hybrid particle swarm optimization algorithm

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Dynamic classifier selection: Recent advances and perspectives

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Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

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Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection

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Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects

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On the use of meta-learning for instance selection: An architecture and an experimental study

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Twigs classifiers based on the boundary vectors Machine (BVM): A novel approach for supervised learning

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Class Representatives Selection in non-metric spaces for nearest prototype classification

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Edited nearest neighbour for selecting keyframe summaries of egocentric videos

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Knowledge-based instance selection: A compromise between efficiency and versatility

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An improved artificial immune recognition system with the opposite sign test for feature selection

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Improved pseudo nearest neighbor classification

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Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

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Instance selection of linear complexity for big data

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Induction of accurate and interpretable fuzzy rules from preliminary crisp representation

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Low-voltage CMOS current-mode exponential circuit with 70 dB output dynamic range

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Integrating a differential evolution feature weighting scheme into prototype generation

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Addressing imbalanced classification with instance generation techniques: IPADE-ID

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MRPR: A MapReduce solution for prototype reduction in big data classification

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Using gravitational search algorithm in prototype generation for nearest neighbor classification

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Pattern classification using a new border identification paradigm: The nearest border technique

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On the suitability of Prototype Selection methods for kNN classification with distributed data

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EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

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Exploring the effect of data reduction on Neural Network and Support Vector Machine classification

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CHI-PG: A fast prototype generation algorithm for Big Data classification problems

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A taxonomic look at instance-based stream classifiers

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Data reduction via multi-label prototype generation

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Learning to select representative instances based on neighborhood distribution

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Prototype-driven expert voting for pseudo-label selection with dual-balanced loss for imbalanced medical image classification

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Evolving Spiking Neural Networks for online learning over drifting data streams

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Improving the combination of results in the ensembles of prototype selectors

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The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria

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“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

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A novel prototype generation technique for handwriting digit recognition

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Query-expanded collaborative representation based classification with class-specific prototypes for object recognition

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Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective

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Improving kNN multi-label classification in Prototype Selection scenarios using class proposals

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Discriminant deep belief network for high-resolution SAR image classification

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Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces

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Dissimilarity-based representations for one-class classification on time series

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Fast data reduction by space partitioning via convex hull and MBR computation

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Multilabel Prototype Generation for data reduction in K-Nearest Neighbour classification

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Insights into imbalance-aware Multilabel Prototype Generation mechanisms for k -Nearest Neighbor classification in noisy scenarios

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Multi-label prototype selection based on editing nearest neighbor rule

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Data as voters: Core set selection using approval-based multi-winner voting

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Prototype reduction based on Direct Weighted Pruning

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Oversampling imbalanced data in the string space

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SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction

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Data preprocessing in predictive data mining

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Prototype Selection Method Based on the Rivality and Reliability Indexes for the Improvement of the Classification Models and External Predictions

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Improving Naive Bayes for Regression with Optimized Artificial Surrogate Data

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Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Machine Learning

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An Improvement To The k-Nearest Neighbor Classifier For ECG Database

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FHC: an adaptive fast hybrid method for k-NN classification

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An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data

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Improving k Nearest Neighbors and Naïve Bayes Classifiers Through Space Transformations and Model Selection

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Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification

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Uncertainty Based Optimal Sample Selection for Big Data

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Nonnegative complementary prototype representation based classifier for object recognition

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A new representation for instance-based clonal selection algorithms

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Evolving artificial datasets to improve interpretable classifiers

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An evolutionary multi-objective approach for prototype generation

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A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification

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A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation

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A Nearest Prototype Selection Algorithm Using Multi-objective Optimization and Partition

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A Prototype Selection Algorithm Based on Extended Near Neighbor and Affinity Change

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A Tale of Two CILs: The Connections between Class Incremental Learning and Class Imbalanced Learning, and Beyond

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Combining nearest neighbour classifiers based on small subsamples for big data analytics

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Prototype reduction algorithms comparison in nearest neighbor classification for sensor data: Empirical study

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An instance selection algorithm for regression and its application in variance reduction

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Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier

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PowerHC: non linear normalization of distances for advanced nearest neighbor classification

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Prototype Selection and Generation with Minority Classes Preservation

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Evolutionary Adaptive Self-Generating Prototypes for imbalanced datasets

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A concept-drift perspective on prototype selection and generation

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Data classification combining Self-Organizing Maps and Informative Nearest Neighbor

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Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data

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Soft-Label Dataset Distillation and Text Dataset Distillation

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One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes

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A prototype optimization method for nearest neighbor classification by gravitational search algorithm

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From Big Data to Smart Data with the K-Nearest Neighbours Algorithm

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Machine Learning for Time-of-Arrival Estimation With 5G Signals in Indoor Positioning

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Prototype Classifiers and the Big Fish: The Case of Prototype (Instance) Selection

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A study of the scaling up capabilities of stratified prototype generation

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Fast and Accurate k-Nearest Neighbor Classification Using Prototype Selection by Clustering

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Towards simultaneous prototype and Feature Generation

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I3GO+ at RICATIM 2017: A semi-supervised approach to determine the relevance between images and text-annotations

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Sampling Algorithms for Unsupervised Prototype Selection

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Applying SPEA2 to prototype selection for nearest neighbor classification

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Comparison of Multi-objective Evolutionary Algorithms for prototype selection in nearest neighbor classification

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Smart Case Mining Based on Membrane Clustering

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Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification

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Dataset Distillation via Multi-objective Genetic Algorithms

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Prototype Generation Using Multiobjective Particle Swarm Optimization for Nearest Neighbor Classification

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Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification

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Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction

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Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble

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Deep Metric Learning for K Nearest Neighbor Classication

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Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms

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Weighted Data Gravitation Classification for Standard and Imbalanced Data

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Prototypes selection based on similarity relations for classification problems

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Sample selection of multi-trial data for data-driven haptic texture modeling

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Increasing the speed of fuzzy k‐nearest neighbours algorithm

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Efficient dataset size reduction by finding homogeneous clusters

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