Unsupervised Learning
Supervised Learning uses Modeling Processes that are not based on example feature vector and class pairs, as is the case with Supervised Learning.
The learning process is unsupervised in that a model is trained using algorithms which do not depend on feature vectors pre-matched with classes:
Data => ETL => Model Training => Trained Model
Unsupervised Modeling Algorithms
Algorithms used for Unsupervised Learning include: