Cover Image

Nearest Neighbour Equilibrium Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hofmeyr, David P.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bags of Projected Nearest Neighbours: Competitors to Random Forests?
by: Hofmeyr, David P.
Published: (2025)

Clustering by Nonparametric Smoothing
by: Hofmeyr, David P.
Published: (2025)

Nearest Neighbour with Bandit Feedback
by: Pasteris, Stephen, et al.
Published: (2023)

Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering
by: Qin, Xiaoyu, et al.
Published: (2019)

Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation
by: Harwood, Ben, et al.
Published: (2024)

The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours
by: Allison, Robert, et al.
Published: (2026)

Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
by: Valero-Mas, Jose J., et al.
Published: (2022)

Nearest Neighbour Score Estimators for Diffusion Generative Models
by: Niedoba, Matthew, et al.
Published: (2024)

Optimal Extended Neighbourhood Rule $k$ Nearest Neighbours Ensemble
by: Ali, Amjad, et al.
Published: (2022)

Using Enriched Category Theory to Construct the Nearest Neighbour Classification Algorithm
by: Pugh, Matthew, et al.
Published: (2023)

Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
by: Gupta, Shubham, et al.
Published: (2024)

Optimal Projections for Classification with Naive Bayes
by: Hofmeyr, David P., et al.
Published: (2024)

Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
by: Chattopadhyay, Anindita, et al.
Published: (2025)

UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph
by: Yang, Yang
Published: (2026)

Imbalanced Data Clustering using Equilibrium K-Means
by: He, Yudong
Published: (2024)

Nearest Neighbor Dirichlet Mixtures
by: Chattopadhyay, Shounak, et al.
Published: (2020)

Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2025)

Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
by: Shi, Xinxing, et al.
Published: (2025)

SOAR: Improved Indexing for Approximate Nearest Neighbor Search
by: Sun, Philip, et al.
Published: (2024)

Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
by: Spalding-Jamieson, Jack, et al.
Published: (2025)

A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
by: Li, Yiran, et al.
Published: (2024)

Online Consistency of the Nearest Neighbor Rule
by: Dasgupta, Sanjoy, et al.
Published: (2024)

Variational Nearest Neighbor Gaussian Process
by: Wu, Luhuan, et al.
Published: (2022)

Explaining the Success of Nearest Neighbor Methods in Prediction
by: Chen, George H., et al.
Published: (2025)

Nearest Neighbor Sampling for Covariate Shift Adaptation
by: Portier, François, et al.
Published: (2023)

On adversarial training and the 1 Nearest Neighbor classifier
by: Hagai, Amir, et al.
Published: (2024)

Minimax Optimal Q Learning with Nearest Neighbors
by: Zhao, Puning, et al.
Published: (2023)

Learnability with Partial Labels and Adaptive Nearest Neighbors
by: Errandonea, Nicolas A., et al.
Published: (2026)

Differentiable Folding for Nearest Neighbor Model Optimization
by: Krueger, Ryan K., et al.
Published: (2025)

Different thresholding methods on Nearest Shrunken Centroid algorithm
by: Sahtout, Mohammad Omar, et al.
Published: (2024)

A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality
by: Ong, Eng-Jon, et al.
Published: (2026)

Learning Counterfactual Distributions via Kernel Nearest Neighbors
by: Choi, Kyuseong, et al.
Published: (2024)

Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
by: Zhang, Haimin, et al.
Published: (2024)

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
by: Yu, Shangdi, et al.
Published: (2023)

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
by: Zhu, Ye, et al.
Published: (2019)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

Fast and Multiphase Rates for Nearest Neighbor Classifiers
by: Yang, Pengkun, et al.
Published: (2023)

Nearest-Neighbor Radii under Dependent Sampling
by: Gao, Yuanyuan, et al.
Published: (2026)

Panorama: Fast-Track Nearest Neighbors
by: Ramani, Vansh, et al.
Published: (2025)

Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium
by: Fan, Xinxin, et al.
Published: (2025)