通过可分离性指数和光谱聚类来提高尖峰分类效率

Leila Ranjbar1, Hossein Parsaei2, Mohammad Mehdi Movahedi3

  • 1Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

PubMed
概括

频谱聚类有效地使用原始数据对神经尖端进行排序. 一个新的可分离性指数预测了尖端分类难度,提高了大数据集的效率和准确性.

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