In unsupervised learning the training set is unlabelled, that is it has no markers to indicate a desired grouping or value. Unsupervised learning algorithms look for commonalities to group or infer other properties of the data. This may be used on its own, or be used as the first stage before human labelling or for a subsequent supervised learning method.
Used in Chap. 5: page 60; Chap. 6: pages 81, 84; Chap. 8: pages 103, 104, 108, 109, 115; Chap. 9: pages 117, 118, 119, 124, 125, 128, 129; Chap. 10: page 140; Chap. 12: page 182; Chap. 14: page 212; Chap. 16: page 241; Chap. 18: pages 282, 283, 287
Also known as unsupervised, unsupervised algorithm, unsupervised machine learning, unsupervised technique, unsupervised training