BioinformaticsNeural Computing and ApplicationsPeer-reviewed
A Hierarchical Clustering Algorithm Based on Silhouette Index for Cancer Subtype Discovery from Omics Data
N. Nidheesh, K. A. Abdul Nazeer, P. M. Ameer
This paper introduces SilHAC, a hierarchical clustering algorithm that automatically estimates the number of clusters in cancer omics data and outperforms existing methods.
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