1. In machine learning and data science, a collection of data points or observations that do not have associated labels, categories, or target values; used primarily in unsupervised learning tasks
The algorithm was trained on an unlabeled sample set to discover underlying patterns in the customer behavior data.
O algoritmo foi treinado em um conjunto de amostras não rotuladas para descobrir padrões subjacentes nos dados de comportamento do cliente.
2. A dataset where instances lack predefined classifications or annotations, requiring clustering or dimensionality reduction techniques for analysis
Working with an unlabeled sample set requires different techniques than supervised learning approaches.
Trabalhar com um conjunto de amostras não rotuladas requer técnicas diferentes das abordagens de aprendizado supervisionado.