Expert system for clustering prokaryotic species by their metabolic features

作者：

Highlights：

• We design an expert system for clustering prokaryotic species by metabolic features.

• We combine SOM with clustering validity indices within a hierarchical strategy.

• Handle a complex dataset that can help in the extraction of underlying information.

• Provides help in the study of the correlation between metabolism and functional characteristics.

摘要

•We design an expert system for clustering prokaryotic species by metabolic features.•We combine SOM with clustering validity indices within a hierarchical strategy.•Handle a complex dataset that can help in the extraction of underlying information.•Provides help in the study of the correlation between metabolism and functional characteristics.

论文关键词：Expert system,Clustering,Self-organizing Maps,Clustering validity indices,Metabolism,Prokaryotic species

论文评审过程：Available online 13 May 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.013