pattern recognition

Branch of machine learning

Also known as automated pattern recognition

Instance of: branch of computer science
Subclass of: machine learning

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess PR capabilities but their primary function is to distinguish and create emergent patterns. PR has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power.

Overview

All data

43 statements · 23% with external sources · numbers in brackets are citations

Followed by: machine learning
Class of object(s) of occurrence: pattern

On other databases

35 identifiers linking pattern recognition across the web's reference databases

Data quality

statements

23%

externally sourced

Source last edited August 31, 2026. AIDB refreshes this page daily.

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AIDB. (2026). pattern recognition (Q378859). Retrieved from https://aidb.si/e/pattern-recognition-Q378859