不平衡数据集的监督微藻分类

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI:10.1109/BRACIS.2016.020

Iago Correa, Paulo L. J. Drews-Jr, M. S. Souza, V. Tavano

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引用次数: 12

摘要

微藻是单细胞生物，具有物理特征，如大小、形状甚至现在的结构。人工分类可能需要专家付出很大的努力，因为在一小块水样本中可以发现成千上万的微藻。此外，手工分类并不是一个简单的操作。结果表明，当代价矩阵和抽样方法与监督算法相结合时，分类质量得到了显著提高。

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Supervised Microalgae Classification in Imbalanced Dataset

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.

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2016 5th Brazilian Conference on Intelligent Systems (BRACIS)

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