Supervised Microalgae Classification in Imbalanced Dataset
Iago Correa, Paulo Drews, Márcio Silva de Souza, Virgínia Maria Tavano · 2016
Microalgae are unicellular organisms that have physical characteristics such as size, shape or even the present structures. Classifying them manually may require great effort from experts since thousands of microalgae can be found in a small sample of water. Furthermore, the manual classification is not a trivial operation. The results show an important improvement in the classification quality when cost matrix and sampling methods are associated with supervised algorithm.