Agglomerative hierarchical clustering analysis in predicting antibacterial activity of compound based on chemical structure similarity

HIGHLIGHTS

• who: Norisca from the Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Hasanuddin JlPerintis Kemerdekaan KM10, Makassar, Indonesia. have published the research work: AGGLOMERATIVE HIERARCHICAL CLUSTERING ANALYSIS IN PREDICTING ANTIBACTERIAL ACTIVITY OF COMPOUND BASED ON CHEMICAL STRUCTURE SIMILARITY, in the Journal: (JOURNAL)
• what: Agglomerative hierarchical analysis can successfully group the compounds based on chemical similarity.
• how: The authors used a simple unsupervised learning approach to predict the antibacterial activity of marine compounds. The authors calculated the Dunn Index Average Silhouette Width and Calinski Harabasz Index from two to 20 clusters using . . .
  

   

  

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