PHENOMENA AND PROCESSES Mathematical Concepts [G17] Mathematical Concepts Algorithms [G17.035] Algorithms Artificial Intelligence [G17.035.250] Artificial Intelligence Machine Learning [G17.035.250.500] Machine Learning Deep Learning [G17.035.250.500.250] Deep Learning Dimensionality Reduction [G17.035.250.500.375] Dimensionality Reduction Ensemble Learning [G17.035.250.500.438] Ensemble Learning Federated Learning [G17.035.250.500.469] Federated Learning Reinforcement Machine Learning [G17.035.250.500.485] Reinforcement Machine Learning Representation Machine Learning [G17.035.250.500.493] Representation Machine Learning Supervised Machine Learning [G17.035.250.500.500] Supervised Machine Learning Transfer Machine Learning [G17.035.250.500.625] Transfer Machine Learning Unsupervised Machine Learning [G17.035.250.500.750] Unsupervised Machine Learning Autoencoder [G17.035.250.500.750.500] Autoencoder INFORMATION SCIENCE Information Science [L01] Information Science Computing Methodologies [L01.224] Computing Methodologies Algorithms [L01.224.050] Algorithms Artificial Intelligence [L01.224.050.375] Artificial Intelligence Machine Learning [L01.224.050.375.530] Machine Learning Deep Learning [L01.224.050.375.530.250] Deep Learning Dimensionality Reduction [L01.224.050.375.530.375] Dimensionality Reduction Ensemble Learning [L01.224.050.375.530.438] Ensemble Learning Federated Learning [L01.224.050.375.530.469] Federated Learning Reinforcement Machine Learning [L01.224.050.375.530.485] Reinforcement Machine Learning Representation Machine Learning [L01.224.050.375.530.493] Representation Machine Learning Supervised Machine Learning [L01.224.050.375.530.500] Supervised Machine Learning Transfer Machine Learning [L01.224.050.375.530.625] Transfer Machine Learning Unsupervised Machine Learning [L01.224.050.375.530.750] Unsupervised Machine Learning Autoencoder [L01.224.050.375.530.750.500] Autoencoder

Unsupervised Machine Learning - Preferred

Concept UI	M000606094
Scope note	A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.
Preferred term	Unsupervised Machine Learning
Entry term(s)	Learning, Unsupervised Machine Machine Learning, Unsupervised