data clustering
[/ˈdeɪtə ˈklʌstərɪŋ/]
noun
agrupamento de dados
1. An unsupervised machine learning technique that groups similar data points together into clusters based on their characteristics or patterns, without predefined labels.
Data clustering is used to identify customer segments in market research.
O agrupamento de dados é usado para identificar segmentos de clientes em pesquisa de mercado.
2. The process of partitioning a dataset into subsets (clusters) where items within the same cluster are more similar to each other than to items in other clusters.
The algorithm performed data clustering to organize the survey responses into meaningful groups.
O algoritmo realizou agrupamento de dados para organizar as respostas da pesquisa em grupos significativos.
In Brazil, 'agrupamento de dados' is the formal technical term preferred in academic and professional settings, though 'clustering' is increasingly used in the tech startup and AI sectors of São Paulo. In the United States, 'data clustering' is standard terminology in data science, machine learning, and business analytics contexts. The term reflects the global nature of tech industry vocabulary where English terms often coexist with local language equivalents.
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