Classification

See: Named Concept/Class Cluster, Classification Task, Statistical Classification.

References

WordNet.
- categorization: the act of distributing things into classes or categories of the same type
- a group of people or things arranged by class or category
- the basic cognitive process of arranging into classes or categories
- restriction imposed by the government on documents or weapons that are available only to certain authorized people
http://www.predictionworks.com/glossary/
- Classification/Classifier: The act of labeling a test case into one of a finite number of output classes.

(Dextre Clarke et al., 2008) ⇒ Stella Dextre Clarke, Alan Gilchrist, Ron Davies and Leonard Will. (2008). “Glossary of Terms Relating to Thesauri and Other Forms of Structured Vocabulary for Information Retrieval." Willpower Information
- classification
  - grouping together of similar or related things and the separation of dissimilar or unrelated things and the arrangement of the resulting groups in a logical and helpful sequence

(Woodley, 2005b) ⇒ Mary S. Woodley, Gail Clement, and Pete Winn. (2005). “DCMI Glossary." Dublin Core Metadata Initiative.
- classification.
  - A logical scheme for arrangement of knowledge, usually by subject. Classification schema are alpha and/or numeric; for example, Library of Congress Classification, Dewey Classification, Universal Decimal Classification.

(Zaiane, 1999) ⇒ Osmar Zaiane. (1999). “Glossary of Data Mining Terms." University of Alberta, Computing Science CMPUT-690: Principles of Knowledge Discovery in Databases.
- QUOTE: Classification:The process of dividing a dataset into mutually exclusive groups such that the members of each group are as "close" as possible to one another, and different groups are as "far" as possible from one another, where distance is measured with respect to specific variable(s) you are trying to predict. For example, a typical classification problem is to divide a database of companies into groups that are as homogeneous as possible with respect to a creditworthiness variable with values "Good" and "Bad."