nearest-neighbor analysis
[/ˈnɪərəst ˈneɪbər əˈnæləsɪs/]
nounpl: nearest-neighbor analyses
análise de vizinho mais próximo
1. A statistical method used in spatial analysis and pattern recognition to determine the spatial distribution of points or objects by measuring distances to the nearest neighboring point, often used to detect clustering or randomness in data
The ecologist used nearest-neighbor analysis to study the distribution pattern of trees in the forest.
O ecologista usou análise de vizinho mais próximo para estudar o padrão de distribuição das árvores na floresta.
2. A machine learning classification algorithm that classifies data points based on the characteristics of their nearest neighboring points in a feature space
The k-nearest-neighbor analysis showed that the new data point belonged to class A with 85% confidence.
A análise de k vizinhos mais próximos mostrou que o novo ponto de dados pertencia à classe A com 85% de confiança.
This is a specialized technical term primarily used in statistics, spatial analysis, ecology, machine learning, and computer science. It is more commonly used in academic and research settings in both Brazil and the USA. In Brazilian universities and tech companies, the term is often used alongside its English abbreviation (NN or KNN) in scientific publications and technical documentation.
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