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92

Individual observations or data can be divided into a set of quantifiable properties. These properties may be categorical, e.g. “a”, “b”, “c”, “d” etc. or ordinal, e.g. “excellent”, “very good”, “good”, “acceptable”, “average”, or “poor”. They can be integer or real valued. Observations or data can also be classified using similarity or distance functions, e.g. based on earlier observations or data. An algorithm that implements classification can be a classifier, A classifier can sometimes also be a mathematical function, e.g. implemented by a classification algorithm, that can map input data to a category.

Added by DJM Jan 2024