nonsupervised
Nonsupervised is a term used to describe a type of machine learning algorithm or phenomenon where the system learns and makes predictions or decisions without being provided with labeled or pre-classified training data. This is in contrast to supervised learning, where the algorithm is trained on labeled data with known outputs.
In nonsupervised learning, the algorithm is left to explore the data and discover patterns, relationships, and
One of the main advantages of nonsupervised learning is its ability to uncover hidden patterns and relationships
Nonsupervised learning has many applications in various fields, including image and speech recognition, data mining, and