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Updated: Jul 22, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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提高基于回归的高维数据集集群的准确性和内部一致性

Bo Zhang1, Jianghua He1, Jinxiang Hu1

  • 1Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA.

Statistical applications in genetics and molecular biology
|July 25, 2023
PubMed
概括

这项研究通过取代其特征选择方法,增强了对高维数据的组件智能稀少混合回归 (CSMR). 适应式-拉索集成显著提高了集群精度和内部一致性.

关键词:
疾病异质性 疾病异质性混合物建模混合物建模监督学习学习监督学习

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