Hierarchical Clustering using Euclidean Distance

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Hierarchical Clustering using Euclidean Distance provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Hierarchical Clustering using Euclidean Distance is taught by Usama A. F. Khalil. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • By the end of this project, you will create a Python program using a jupyter interface that analyzes a group of viruses and plot a dendrogram based on similarities among them. The dendrogram that you will create will depend on the cumulative skew profile, which in turn depends on the nucleotide composition. You will use complete genome sequences for many viruses including, Corona, SARS, HIV, Zika, Dengue, enterovirus, and West Nile viruses.