Classification

Overview#

Classification (or Taxonomy) is the problem of Identification of an Entity to determine a set of categories (sub-populations) a new observation belongs.

Classification in the simplest form is a binary Classification as in "CAT" or "NOT a CAT".

Classification Machine Learning#

Classification in Machine Learning and statistics is an instance of Supervised Learning for the problem of Identification of an Entity to determine a set of Classification (sub-populations) a new observation belongs, on the basis of a training dataset of data containing observations (or instances) whose Classification membership is known.

Classification is an example of Pattern-recognition.

Data Classification#

Data Classification may be more specific.

An algorithm that implements Classification, especially in a concrete implementation, is known as a classifier.

More Information#

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