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 68; Chap. 6: pages 90, 93; Chap. 8: pages 113, 117, 118, 124; Chap. 9: pages 127, 128, 129, 134, 136, 139; Chap. 10: page 151; Chap. 12: page 197; Chap. 14: page 229; Chap. 16: page 260; Chap. 18: pages 302, 303, 306
Also known as unsupervised, unsupervised algorithm, unsupervised machine learning, unsupervised technique, unsupervised training