Suppose we are given a learning set L of multivariate observations (i.e., input values ℜrRr), and suppose each observation is known to have come from one of K predefined classes having similar characteristics. These classes may be identified, for example, as species of plants, levels of credit worthiness of customers, presence or absence of a specific medical condition, different types of tumors, views on Internet censorship, or whether an e-mail message is spam or non-spam.
CITATION STYLE
Izenman, A. J. (2013). Linear Discriminant Analysis (pp. 237–280). https://doi.org/10.1007/978-0-387-78189-1_8
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