nearest-neighbor method
[ˈnɪərəst ˈneɪbər ˈmeθəd]
nounpl: nearest-neighbor methods
método do vizinho mais próximo
1. An algorithm that classifies data points based on the classes of their nearest neighbors in the feature space, commonly used in machine learning and pattern recognition
The nearest-neighbor method is one of the simplest machine learning algorithms used for classification tasks.
O método do vizinho mais próximo é um dos algoritmos de aprendizado de máquina mais simples usado para tarefas de classificação.
2. A heuristic approach for solving optimization problems by repeatedly selecting the closest unvisited point or node
The traveling salesman problem can be approximated using the nearest-neighbor method.
O problema do caixeiro viajante pode ser aproximado usando o método do vizinho mais próximo.
3. A non-parametric technique that makes predictions based on similarity measures between test and training instances
In data analysis, the nearest-neighbor method requires no prior assumptions about data distribution.
Na análise de dados, o método do vizinho mais próximo não requer suposições prévias sobre a distribuição dos dados.
This is a technical term primarily used in computer science, machine learning, and data science communities in both Brazil and the USA. It is widely taught in universities and used in industry for pattern recognition, recommendation systems, and data classification tasks. The term remains consistent across English and Portuguese technical literature without significant cultural variation.
Related Idioms & Phrases
nearest neighbor classification
k-nearest neighbor search
nearest neighbor distance
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