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Updated: Jun 4, 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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对混合类型数据进行修改和加权的基于Gower距离的聚类分析:模拟和经验分析

Pinyan Liu1, Han Yuan2, Yilin Ning2

  • 1Centre for Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. pinyanliu@u.duke.nus.edu.

BMC medical research methodology
|December 19, 2024
PubMed
概括

一个新的集群算法,DAFI,通过结合特征重要性,有效地分析混合类型的临床数据. 这种方法提高了聚类的准确性,并揭示了重要的健康关联,如牙周炎和心血管疾病.

关键词:
集群集成是指集群集成.测量距离的方法 测量距离功能重要性 功能重要性混合类型数据混合类型数据

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