k-NN

[/keɪ ɛn ɛn/]
noun
k-vizinhos mais próximos
1. A supervised machine learning algorithm that classifies data points based on the k nearest neighbors in the feature space, where k is a user-defined positive integer
The k-NN algorithm is simple but effective for classification tasks with relatively small datasets.
O algoritmo k-NN é simples mas eficaz para tarefas de classificação com conjuntos de dados relativamente pequenos.
2. A non-parametric method used in pattern recognition and statistical estimation that makes predictions by examining the characteristics of the nearest k training examples
In this study, we implemented k-NN with k=5 to predict customer churn.
Neste estudo, implementamos k-NN com k=5 para prever a rotatividade de clientes.
k-NN is a fundamental algorithm taught in machine learning courses worldwide. It remains widely used in both academic research and industry applications despite newer deep learning approaches. The acronym k-NN is typically used untranslated in technical documentation across Portuguese-speaking countries, though full translations exist for educational contexts.
Synonyms / Sinônimos
k-nearest neighborsnearest neighbor classificationmemory-based learning

Regional Variations

General Brazilian
k-vizinhos mais próximos
Standard technical term used in computer science and data science contexts
Portugal
k-vizinhos mais próximos
Same term used in Portuguese academic and technical literature
USA/International
k-NN
Acronym commonly used in English-speaking technical communities

Related Words

machine learningsupervised learningclassification algorithmdistance metricfeature spacetraining data
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