ML Unsupervised Learning
For discovering hidden patterns in data. The target variable is not available. Dataset is a collection of unlabelled examples. Usually large, as biggerr samples better reflect the probability distribution of the data.
- Clustering … organize items based on similarity according to a distance metric
- Association … discover co-occurrences between features (if you buy milk, you prob also buy cheese)
Applications:
- Dimensionality Reduction
- Anomaly detection
- Topic Modelling