compressed clustering
[kəmˈprɛst ˈklʌstərɪŋ]
nounpl: compressed clusterings
agrupamento comprimido
1. A data compression and organization technique that groups similar or related data points together in a compressed format to reduce storage space and improve processing efficiency
Compressed clustering was applied to the large dataset to reduce memory usage while maintaining data integrity.
O agrupamento comprimido foi aplicado ao grande conjunto de dados para reduzir o uso de memória mantendo a integridade dos dados.
2. In machine learning and data mining, a method that combines clustering algorithms with compression techniques to identify patterns in large datasets more efficiently
The algorithm uses compressed clustering to identify customer segments from billions of transaction records.
O algoritmo utiliza agrupamento comprimido para identificar segmentos de clientes a partir de bilhões de registros de transações.
This is a technical term primarily used in computer science, data engineering, and machine learning fields. It is not commonly used in everyday conversation in Brazil or the USA, but is standard terminology in academic and professional IT contexts. The term reflects the growing importance of data compression and efficient algorithms in the era of big data processing.
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