You have unlabeled data and are trying to group together similar data points based off of features.
Draws inferences from datasets consisting of input data without historical labeled responses (dependent variables).
The system is not told the ‘right answer’ and the algorithm figures out the relations or attributes.
Used for:
- Segmenting text topics
- Recommend items
- Identify data outliers
The Data Science Pitstop 