distributed clustering
[/dɪˈstrɪbjutɪd ˈklʌstərɪŋ/]
nounpl: distributed clusterings
agrupamento distribuído
1. A computational technique where clustering algorithms are executed across multiple interconnected computers or nodes in a distributed system to group similar data points
Distributed clustering enables the processing of massive datasets that cannot fit on a single machine.
O agrupamento distribuído permite o processamento de conjuntos de dados massivos que não cabem em uma única máquina.
2. A method of partitioning data across a network of servers while maintaining cluster coherence and synchronization
The company implemented distributed clustering to improve scalability and fault tolerance.
A empresa implementou agrupamento distribuído para melhorar a escalabilidade e a tolerância a falhas.
This is a specialized technical term primarily used in computer science, data science, and software engineering fields. It reflects the growing importance of distributed systems and big data processing in both Brazilian and American tech industries. The term is relatively recent and borrowed heavily from English in technical documentation across Portuguese-speaking regions.
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