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Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

Journal of the American Statistical Association, 2024, Vol.119 (545), p.297-307

2024

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A local density-based approach for outlier detection

Neurocomputing (Amsterdam), 2017-06, Vol.241, p.171-180

2017

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Weighted kNN and constrained elastic distances for time-series classification

Expert systems with applications, 2020-12, Vol.162, p.113829, Article 113829

2020

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A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors

Information sciences, 2021-07, Vol.565, p.438-455

2021

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Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors

Information sciences, 2016-08, Vol.354, p.19-40

2016

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Nearest neighbors distance ratio open-set classifier

Machine learning, 2017-03, Vol.106 (3), p.359-386

2017

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Density peaks clustering based on k‐nearest neighbors sharing

Concurrency and computation, 2021-03, Vol.33 (5), p.n/a

2021

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DenMune: Density peak based clustering using mutual nearest neighbors

Pattern recognition, 2021-01, Vol.109, p.107589, Article 107589

2021

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k-Nearest Neighbour Classifiers - A Tutorial

ACM computing surveys, 2021-07, Vol.54 (6), p.1-25

2021

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Improving forecasts for heterogeneous time series by “averaging”, with application to food demand forecasts

International journal of forecasting, 2024-03

2024

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What the neighbors say

Journal of thrombosis and haemostasis, 2020-08, Vol.18 (8), p.1807-1807

2020

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Study on an adaptive thermal comfort model with K-nearest-neighbors (KNN) algorithm

Building and environment, 2021-09, Vol.202, p.108026, Article 108026

2021

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On Selecting Effective Patterns for Fast Support Vector Regression Training

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3610-3622

2018

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A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process

Physica A, 2019-06, Vol.523, p.702-713

2019

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Applying k‐nearest neighbors to time series forecasting: Two new approaches

Journal of forecasting, 2024-08, Vol.43 (5), p.1559-1574

2024

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A generalized mean distance-based k-nearest neighbor classifier

Expert systems with applications, 2019-01, Vol.115, p.356-372

2019

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Natural neighbor: A self-adaptive neighborhood method without parameter K

Pattern recognition letters, 2016-09, Vol.80, p.30-36

2016

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SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm

Information sciences, 2024-01, Vol.653, p.119788, Article 119788

2024

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A Survey on Learning to Hash

IEEE transactions on pattern analysis and machine intelligence, 2018-04, Vol.40 (4), p.769-790

2018

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A new locally adaptive k-nearest neighbor algorithm based on discrimination class

Knowledge-based systems, 2020-09, Vol.204, p.106185, Article 106185

2020

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Identification of influential spreaders based on classified neighbors in real-world complex networks

Applied mathematics and computation, 2018-03, Vol.320, p.512-523

2018

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Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting

Physica A, 2017-07, Vol.477, p.161-173

2017

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Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement

IEEE transactions on knowledge and data engineering, 2020-08, Vol.32 (8), p.1475-1488

2020

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Neighborhood linear discriminant analysis

Pattern recognition, 2022-03, Vol.123, p.108422, Article 108422

2022

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The Construction of Some New Quasi Rees Neighbor Designs Using Cyclic Shifts

Pakistan journal of statistics and operation research, 2022-09, p.643-648

2022

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Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

A local density-based approach for outlier detection

Weighted kNN and constrained elastic distances for time-series classification

A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors

Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors

Nearest neighbors distance ratio open-set classifier

Density peaks clustering based on k‐nearest neighbors sharing

DenMune: Density peak based clustering using mutual nearest neighbors

k-Nearest Neighbour Classifiers - A Tutorial

Improving forecasts for heterogeneous time series by “averaging”, with application to food demand forecasts

What the neighbors say

Study on an adaptive thermal comfort model with K-nearest-neighbors (KNN) algorithm

On Selecting Effective Patterns for Fast Support Vector Regression Training

A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process

Applying k‐nearest neighbors to time series forecasting: Two new approaches

A generalized mean distance-based k-nearest neighbor classifier

Natural neighbor: A self-adaptive neighborhood method without parameter K

SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm

A Survey on Learning to Hash

A new locally adaptive k-nearest neighbor algorithm based on discrimination class

Identification of influential spreaders based on classified neighbors in real-world complex networks

Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting

Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement

Neighborhood linear discriminant analysis

The Construction of Some New Quasi Rees Neighbor Designs Using Cyclic Shifts

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