Review of classification algorithms with changing inter-class distances
Machine learning algorithms are often faced with several data related problems. Real-world datasets come in various types and dimensions, each of which constitute some form of data related problems; moreover, they often contain irrelevant or noisy features. As a result of these, different data relat...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
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Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000128 |