Unsupervised Learning: the program is given a bunch of unlabelled data and must discover patterns and relationships in them.
In unsupervised learning:
- we are provided with a data set
- we need to find an understanding of interesting relationships within the data
- we identify groups / clusters of interesting information within the data
- can be used to identify where new points ‘fit’ within the data set
We use two common techniques: clustering and association rules.