在节和聚类方面
Frédérique Oggier1, Anwitaman Datta2
1School of Physical & Mathematical Sciences, Nanyang Technological University Singapore, Singapore.
PeerJ. Computer science
|June 22, 2023
概括
用于非生物数据分析的节的克拉多图形与等级集群的树状图形不同. 一些数据集显示这些集群方法之间的不兼容性,影响数据分析.
科学领域:
- 计算生物学 计算生物学
- 数据分析 数据分析
- 集群算法的集群算法
背景情况:
- 原本用于进化生物学的节的克拉多图,越来越多地应用于各种非生物数据.
- 这些克拉多图用于分析病毒和预测蛋白质结构.
- 层次聚类是数据分组的一个常见方法.
研究的目的:
- 为了比较节优化的cladograms与单链接层次集群的dendrograms.
- 调查这两种集群方法之间的兼容性和差异.
主要方法:
- 节的克拉多格拉姆优化.
- 单一链接等级集群. 单一链接等级集群.
- 使用F分数进行比较分析.
主要成果:
- 识别了数据集,其中等级聚类树状图与节优化不兼容.
- 在两种方法之间展示了不同的集群结果.
结论:
- 节的cladograms和单一链接的等级集群是不可互换的.
- 选择的方法可以显著影响数据集群的结果,特别是对于特定的数据集.
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