IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Pattern Recognition

• Publication date

  2015-05-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.patcog.2014.11.005
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• DDC: distance-based decision classifier

  2012cited by this paper
• Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study

  2012cited by this paper
• Evolutionary selection of hyperrectangles in nested generalized exemplar learning

  2011cited by this paper
• Summarizing transactional databases with overlapped hyperrectangles

  2011cited by this paper
• A class boundary preserving algorithm for data condensation

  2011cited by this paper
• A new fast prototype selection method based on clustering

  2010cited by this paper
• Cluster-based instance selection for machine classification

  2010cited by this paper
• A review of instance selection methods

  2010cited by this paper
• A Novel Template Reduction Approach for the K -Nearest Neighbor Method

  2009cited by this paper
• Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks

  2009cited by this paper
• Prototype reduction using an artificial immune model

  2008cited by this paper
• Hit Miss Networks with Applications to Instance Selection

  2008cited by this paper
• A memetic algorithm for evolutionary prototype selection: A scaling up approach

  2008cited by this paper
• On kernel difference-weighted k-nearest neighbor classification

  2008cited by this paper
• Class Conditional Nearest Neighbor and Large Margin Instance Selection

  2008cited by this paper
• Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches

  2008cited by this paper
• A version of the NGE model suitable for fuzzy domains

  2007cited by this paper
• Exploiting computer resources for fast nearest neighbor classification

  2007cited by this paper
• A clustering method for automatic biometric template selection

  2006cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006cited by this paper
• Right of Inference: Nearest Rectangle Learning Revisited

  2006cited by this paper
• The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method

  2006cited by this paper
• Normalized k-means clustering of hyper-rectangles

  2005cited by this paper
• A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm

  2005cited by this paper
• The nearest subclass classifier: a compromise between the nearest mean and nearest neighbor classifier

  2005cited by this paper
• Evaluating the effects of distance metrics on a NGE-based system

  2004cited by this paper
• Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

  2003cited by this paper
• Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study

  2003cited by this paper
• Advances in Instance Selection for Instance-Based Learning Algorithms

  2002cited by this paper
• Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction

  2002cited by this paper
• Using Genetic Algorithms for Training Data Selection in RBF Networks

  2001cited by this paper
• Reduction Techniques for Instance-Based Learning Algorithms

  2000cited by this paper
• The Reduced Nearest Neighbor Rule

  1998cited by this paper
• Handbook of Parametric and Nonparametric Statistical Procedures

  1997cited by this paper
• Fitness functions in editing k-NN reference set by genetic algorithms

  1997cited by this paper
• Learning nested concept classes with limited storage

  1996cited by this paper
• Similarity Metric Learning for a Variable-Kernel Classifier

  1995cited by this paper
• Editing for the k-nearest neighbors rule by a genetic algorithm

  1995cited by this paper
• An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms

  1995cited by this paper
• A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm

  1994cited by this paper
• A Nearest Hyperrectangle Learning Method

  1991cited by this paper
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data

  1972cited by this paper
• The reduced nearest neighbor rule (Corresp.)

  1972cited by this paper
• The condensed nearest neighbor rule (Corresp.)

  1968cited by this paper

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

  2025cites this paper
• Instance reduction algorithm based on elitist min-max ant colony optimization technique

  2024cites this paper
• An Evolutionary Fuzzy System for Multiclustering in Data Streaming

  2023cites this paper
• A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems

  2023cites this paper
• Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm

  2023cites this paper
• FRS-SIFS: fuzzy rough set session identification and feature selection in web robot detection

  2023cites this paper
• Robust Feature Selection by Filled Function and Fisher Score

  2022cites this paper
• Grid-DPC: Improved density peaks clustering based on spatial grid walk

  2022cites this paper
• Unsupervised instance selection via conjectural hyperrectangles

  2022cites this paper
• Instance Selection: A Bayesian Decision Theory Perspective

  2022cites this paper
• Efficient k-nearest neighbor search based on clustering and adaptive k values

  2022cites this paper
• Boundary sampling to boost mutation testing for deep learning models

  2021cites this paper
• Effect of the distance functions on the distance-based instance selection for the feed-forward neural network

  2021cites this paper
• Histogram Entropy Representation and Prototype based Machine Learning Approach for Malware Family Classification

  2021cites this paper
• Improvement of CluStream Algorithm Using Sliding Window for the Clustering of Data Streams

  2021cites this paper
• Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer

  2021cites this paper
• An under-sampling technique for imbalanced data classification based on DBSCAN algorithm

  2020cites this paper
• A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors

  2020cites this paper
• Combined weighted multi-objective optimizer for instance reduction in two-class imbalanced data problem

  2020cites this paper
• Incremental one-class classifier based on convex–concave hull

  2020cites this paper
• Bagging-based instance selection for instance-based classification

  2020cites this paper
• A New Hybrid Grasshopper Optimization - Backpropagation for Feedforward Neural Network Training

  2020cites this paper
• Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes

  2020cites this paper
• Probabilistic Value Selection for Space Efficient Model

  2020cites this paper
• ELS: A Fast Parameter-Free Edition Algorithm With Natural Neighbors-Based Local Sets for k Nearest Neighbor

  2020cites this paper
• Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining

  2020cites this paper
• A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine

  2020cites this paper
• Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator

  2020cites this paper
• Instance selection based on boosting for instance-based learners

  2019cites this paper
• Clustering data stream with uncertainty using belief function theory and fading function

  2019cites this paper
• Local-Set Based-on Instance Selection Approach for Autonomous Object Modelling

  2019cites this paper
• Case-base maintenance of a personalised and adaptive CBR bolus insulin recommender system for type 1 diabetes

  2019cites this paper
• A hybrid method for increasing the speed of SVM training using belief function theory and boundary region

  2019cites this paper
• Constraint nearest neighbor for instance reduction

  2019cites this paper
• A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine

  2019cites this paper
• One-class Classifier Based on Support Vectors for Noisy Data by Using Chaotic Krill Herd Algorithm and Local Density

  2018cites this paper
• Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation

  2018cites this paper
• An Efficient Prototype Selection Algorithm Based on Dense Spatial Partitions

  2018cites this paper
• Accurate and fast prototype selection based on the notion of relevant and border prototypes

  2018cites this paper
• An Efficient Prototype Selection Algorithm Based on Spatial Abstraction

  2018cites this paper
• Incremental one‐class classification on stationary data stream using two‐quarter sphere

  2018cites this paper
• Bayesian Learning with Unbounded Capacity from Heterogeneous and Set-Valued Data

  2018cites this paper
• Efficient Instance Selection Based on Spatial Abstraction

  2018cites this paper
• Identification of uncertainty and decision boundary for SVM classification training using belief function

  2018cites this paper
• A geodesic distance‐based approach for shape‐independent data clustering using coalitional game

  2018cites this paper
• An efficient hybrid multilayer perceptron neural network with grasshopper optimization

  2018cites this paper
• Belief-based chaotic algorithm for support vector data description

  2018cites this paper
• Adaptive edited natural neighbor algorithm

  2017cites this paper
• RMHC-MR: Instance selection by random mutation hill climbing algorithm with MapReduce in big data

  2017cites this paper
• A User Based Fuzzy Rough Collaborative Filtering in Recommender Systems

  2017cites this paper
• FCNN-MR: A Parallel Instance Selection Method Based on Fast Condensed Nearest Neighbor Rule

  2017cites this paper
• Model-based learning for point pattern data

  2017cites this paper
• Instances selection algorithm by ensemble margin

  2017cites this paper
• Efficient Prototype Selection Supported by Subspace Partitions

  2017cites this paper
• An Efficient Approach for Instance Selection

  2017cites this paper
• Detection of Web site visitors based on fuzzy rough sets

  2017cites this paper
• Natural Neighbor Reduction Algorithm for Instance-based Learning

  2016cites this paper
• New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier

  2016cites this paper
• Automatic support vector data description

  2016cites this paper
• Voting-based instance selection from large data sets with MapReduce and random weight networks

  2016cites this paper
• A Novel Density-Based Approach for Instance Selection

  2016cites this paper
• Prototype-Based Classification Using Class Hyperspheres

  2016cites this paper
• Nearest neighbor-based instance selection for classification

  2016cites this paper
• Case-based maintenance: Structuring and incrementing the case base

  2015cites this paper
• A Density-Based Approach for Instance Selection

  2015cites this paper
• IRDDS: Instance reduction based on Distance-based decision surface

  2015cites this paper