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Unsupervised learning definition

In the previous section, the classification problem was considered to be essentially that of learning how to make decisions about assigning cases to known classes. There are, however, different forms of classification problem, which may be tackled by unsupervised learning, or clustering. Unsupervised classification is appropriate when the definitions of the classes, and perhaps even the number of classes, are not known in advance, e.g., market segmentation of customers into similar groups who can then be targeted separately. [Pg.80]


See other pages where Unsupervised learning definition is mentioned: [Pg.81]    [Pg.302]    [Pg.26]    [Pg.43]    [Pg.100]    [Pg.307]    [Pg.484]    [Pg.228]    [Pg.88]   
See also in sourсe #XX -- [ Pg.20 ]




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