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Imbalanced instance selection based on Laplacian matrix decomposition with weighted k-nearest-neighbor graph
Data are an essential component for building machine learning models. Linearly separable high-quality data are conducive to building efficient...
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A Positive Sample Enhancement Algorithm with Fuzzy Nearest Neighbor Hybridization for Imbalance Data
The class imbalance problem is one of the critical research areas of machine learning and deep learning and has received widespread attention from...
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Nearest Neighbor Sampling of Point Sets Using Rays
We propose a new framework for the sampling, compression, and analysis of distributions of point sets and other geometric objects embedded in...
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A Monitoring Model for Abnormal Electricity Consumption Based on K-Means++ Clustering and Improved K-Nearest Neighbor Algorithm
With the development of public buildings, energy consumption monitoring becomes a popular research direction. An electricity consumption abnormal...
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A meta-indexing method for fast probably approximately correct nearest neighbor searches
In this paper we present an indexing method for probably approximately correct nearest neighbor queries in high dimensional spaces capable of...
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Enriching Representation and Enhancing Nearest Neighbor Classification of Slope/Landslide Data Using Rectified Feature Line Segments and Hypersphere-Based Scaling: A Reproducible Experimental Comparison
Measuring geotechnical and natural hazard engineering features, along with pattern recognition algorithms, allows us to categorize the stability of...
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Influence of adaptive inverse distance weighting method under membership function map** on the interpolation accuracy of geological boreholes
The adaptive inverse distance weighting (IDW) interpolation method shows improved computational advantages for building high-precision 3D geological...
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New approaches to improve nearest neighbors (NN) search in ionospheric simulation system
This work is related to the Earth’s ionosphere simulation and prediction system developed in the Brazilian Space Weather program, which process a...
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Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Previous knowledge graph embedding approaches usually map entities to representations and utilize score functions to predict the target entities, yet...
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GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Spatial Data Using Partitioning and Concurrent Kernel Execution
Algorithms for answering the k nearest-neighbor ( k -NN) query are widely used for queries in spatial databases and for distance classification of a...
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A Decision-Making Framework for Spatial Multicriteria Suitability Analysis using PROMETHEE II and k Nearest Neighbor Machine Learning Models
Land use suitability analysis and assessment is a decision process that allows effective land use planning and management and has been employed in...
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SiNW-ISFET Sensor Modeling Using the k-Nearest Neighbor Machine Learning
The silicon nanowire (SiNW)-based ISFET sensor is experiencing tremendous development due to its multiple attractive advantages (small size, low...
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Semi-supervised Learning with Nearest-Neighbor Label and Consistency Regularization
Semi-supervised learning, a system dedicated to making networks less dependent on labeled data, has become a popular paradigm due to its strong...
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Damage detection of 3D structures using nearest neighbor search method
An innovative damage identification method using the nearest neighbor search method to assess 3D structures is presented. The frequency response...
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A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation
One of the critical challenges facing 3D video systems and images such as holography lies in their compression technique. High-efficiency video...
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Data Hiding System Based on Variations in Image Interpolation Algorithms
The new data hiding method that is suggested in this study is based on the variations in picture interpolation methods. To conceal data in a cover...
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Statistical modeling and map** of rainfall in the endorheic basins of Northern Algeria: a comparison of spatial interpolation methods
The creation of rainfall maps often relies on preliminary spatial interpolation. Significant deviations from the real distribution of rainfall are...
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Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
It has been proven that Graph Neural Networks focus more on the majority class instances and ignore minority class instances when the class...
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An Improved Multi-source Spatiotemporal Data Fusion Model Based on the Nearest Neighbor Grids for PM2.5 Concentration Interpolation and Prediction
The acquisition of PM2.5 concentration mainly relies on small and provincial control air quality monitoring stations, respectively. The distribution...
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Multi-view subspace clustering based on multi-order neighbor diffusion
Multi-view subspace clustering (MVC) intends to separate out samples via integrating the complementary information from diverse views. In MVC, since...
