The classification of informational material, grouping items with similar characteristics together, in ways that are most helpful for accessing the items. 

Library classification

Categorization of record types to assist in creation, organization, storage, retrieval, movement, and destruction of records

Archival Classification

Classification systems are essential in science, offering a framework to categorize and name aspects of the world. They facilitate scientific communication, organize knowledge, and, at their best, provide a conceptual foundation for generalization and new discoveries.

Knowledge Classification Systems/Frameworks

- knowledge classification
- library classification
- archival classification

Georgetown University

University of Michigan - Ann Arbor

The sorting of things (concrete and abstract) into groups on the basis of one or more characteristics.

Classification

Satija, M.P.. (2000). Library classification: An essay in terminology. Knowledge Organization. 27. 221-229. 

Library classification: An essay in terminology

Types of Classification

The population error (or true error) of a classifier $$f$$, denoted as $$\epsilon(f)$$, is the expected fraction of examples in the entire underlying population for which the classifier makes an incorrect prediction. Given a probability density function $$p(\mathbf{x}, y)$$ for the true data distribution $$P$$, it is calculated as the expectation of the error indicator variable:
$$\epsilon(f) = E_{(\mathbf{x}, y) \sim P} \mathbf{1}(f(\mathbf{x}) 
eq y) = \int\int \mathbf{1}(f(\mathbf{x}) 
eq y) p(\mathbf{x}, y) \;d\mathbf{x} dy$$

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