Abstract
A classification problem consists in categorizing an object based on certain attributes, with the aim of identifying to which class it belongs to. For instance, a fruit could be classified based on its size, color, or shape; the same way as an automobile, a flower, an animal, among others. All these objects have their own attributes, and which attributes are considered for classifying an object (or event) will depend on the problem to work with. For example, a heart disease could be classified using data obtained from a Holter device, a tumor or a cancer cell could be classified based on the data of an image.
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Amezcua, J., Melin, P., Castillo, O. (2018). Introduction. In: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-73773-7_1
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DOI: https://doi.org/10.1007/978-3-319-73773-7_1
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