data compression clustering
[/ˈdeɪtə kəmˈpreʃən ˈklʌstərɪŋ/]
noun
agrupamento de compressão de dados
1. A computational technique that combines data compression and clustering algorithms to group similar data points while reducing storage requirements and computational complexity
Data compression clustering is used to optimize large datasets by grouping similar records and removing redundancy.
O agrupamento de compressão de dados é usado para otimizar grandes conjuntos de dados agrupando registros similares e removendo redundância.
2. A method in machine learning that applies clustering analysis to compressed or dimensionally-reduced data to improve efficiency
The team implemented data compression clustering to handle the massive sensor data from IoT devices.
A equipe implementou agrupamento de compressão de dados para processar os dados massivos dos sensores de dispositivos IoT.
This is a specialized technical term predominantly used in computer science, data engineering, and Big Data analytics communities in both Brazil and the USA. In Brazilian tech companies and universities, the English term is often retained in technical documentation, though the Portuguese translation is preferred in formal academic writing. The term reflects the growing importance of data management efficiency in both countries' digital economies.
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