An air classifier is an industrial machine which separates materials by a combination of size, shape, and density.

(category theory) An object which serves as the codomain of a classifying morphism, together with a "true" global element of the said object.

In statistics, naive Bayes classifiers are a family of linear "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class.

In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features.

In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classifiers using the same set of features.

The modern Chinese varieties make frequent use of what are called classifiers or measure words.

In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean (centroid) is closest to the observation.

In machine learning, a margin classifier is a type of classification model which is able to give an associated distance from the decision boundary for each data sample.

In statistics, a quadratic classifier is a statistical classifier that uses a quadratic decision surface to separate measurements of two or more classes of objects or events.