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Updated: Jan 27, 2026

Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations
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Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations

Published on: March 21, 2019

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提高医疗数据集的分类准确度,使用基于混合距离和集群改进的K-means集群方法

Hussein A A Al-Khamees1, Mudatheer M Al-Slivani2, Mayameen S Kadhim3

  • 1Computer Techniques Engineering Department, College of Engineering and Technology, Al-Mustaqbal University, 51001, Babil, Iraq. Hussein.Alkhamees@uomus.edu.iq.

Scientific reports
|January 25, 2026
PubMed
概括

这项研究通过引入混合距离度量和精细化步骤来增强K-Means集群用于医学数据分析,显著提高准确性和集群质量,以便更好地做出临床决策.

关键词:
集群凝聚力 集群凝聚力距离指标 距离指标K_意味着集群方法.机器学习是机器学习.医疗数据集是一个医疗数据集.

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