Cluster analysis to identify prominent patterns of anti-hypertensives: A three-tiered unsupervised learning approach

Clustering brings molecules having similar patterns together and is governed mainly by the structural features (SFs). The challenge is to cluster in such a way that the minimum number of groups with significant molecules having similar prevalent patterns comes together with minimal human intervention. Determining an automatic and reliable approach to cluster molecules is crucial for clinical assessment of medical conditions. Hypertension is one...