sparse clustering
[/spɑrs ˈklʌstərɪŋ/]
nounpl: sparse clusterings
agrupamento esparso
1. A machine learning technique that groups data points into clusters while using sparse representations, emphasizing only the most relevant features and reducing dimensionality
Sparse clustering was applied to the high-dimensional dataset to identify meaningful patterns while minimizing noise.
O agrupamento esparso foi aplicado ao conjunto de dados de alta dimensionalidade para identificar padrões significativos enquanto minimizava ruído.
2. A method that combines clustering analysis with sparsity constraints to select a subset of features that are most important for distinguishing between clusters
The researcher used sparse clustering to determine which genes were most relevant for cancer subtype classification.
O pesquisador utilizou agrupamento esparso para determinar quais genes eram mais relevantes para a classificação de subtipos de câncer.
This is a specialized technical term used primarily in statistics, machine learning, and computational biology. It is equally recognized in Brazilian Portuguese academic circles and international scientific communities. The term reflects the growing importance of computational efficiency and data analysis in modern data science fields.
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