Unsupervised Classification Task
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A Unsupervised Classification Task is a Unsupervised Machine Learning Task that is an Automated Classification Task .
- Example(s):
- Counter-Example(s):
- See: Machine Learning Classification Task, Class Prediction Task, Classifier System, Attribute-Value Learning.
References
2017
- (Drummond, 2017) ⇒ Chris Drummond (2017). "Classification". In: Sammut & Webb (2017). DOI: 10.1007/978-1-4899-7687-1_111
- QUOTE: In common usage, the word classification means to put things into categories, group them together in some useful way. If we are screening for a disease, we would group people into those with the disease and those without. We, as humans, usually do this because things in a group, called a class in machine learning, share common characteristics. If we know the class of something, we know a lot about it. In machine learning, the term classification is most commonly associated with a particular type of learning where examples of one or more classes, labeled with the name of the class, are given to the learning algorithm. The algorithm produces a classifier which maps the properties of these examples, normally expressed as attribute-value pairs, to the class labels. A new example whose class is unknown is classified when it is given a class label by the classifier based on its properties. In machine learning, we use the word classification because we call the grouping of things a class. We should note, however, that other fields use different terms. In philosophy and statistics, the term categorization is more commonly used. In many areas, in fact, classification often refers to what is called clustering in machines learning.