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Updated: Jul 2, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Published on: February 15, 2017

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两个反向高斯群体的替代分类规则具有共同的平均值和顺序受限的类似尺度的参数

Pushkal Kumar1, Manas Ranjan Tripathy1, Somesh Kumar2

  • 1Department of Mathematics, National Institute of Technology Rourkela, Rourkela, India.

Journal of applied statistics
|February 19, 2024
PubMed
概括

本研究引入了使用最大概率估计器 (MLEs) 的逆高斯分布的新分类规则. 拟议的插件类型受限制的MLE在使用有序尺度参数对数据进行分类方面表现出卓越的性能.

关键词:
62F10 它们是什么?62F3030 它们是什么?62H3030 62H30 的时间是 62H30分类规则 分类规则 分类规则最大的概率估计器 (MLE)数字比较,数字比较.订单限制 订单限制正确分类的概率正确分类的概率.

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