cluster classification
[/ˈklʌstər klæsɪfɪˈkeɪʃən/]
nounpl: cluster classifications
classificação por agrupamento
1. A machine learning technique that organizes data points into groups (clusters) based on similarity, without predefined labels or categories
The researcher used cluster classification to identify distinct customer segments in the dataset.
O pesquisador usou classificação por agrupamento para identificar segmentos distintos de clientes no conjunto de dados.
2. An unsupervised learning method where objects are grouped together based on their characteristics and proximity to each other
Cluster classification revealed three main groups within the biological samples.
A classificação por agrupamento revelou três grupos principais dentro das amostras biológicas.
This term is prevalent in both Brazilian and American tech and data science communities. In Brazil, it's widely used in universities and tech startups, particularly in São Paulo's growing tech hub. The English term 'clustering' is often used interchangeably with the Portuguese translation in technical discussions, reflecting the international nature of the field.
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