What are the Advantages of Using Hierarchical Clustering in Cancer Studies?
One of the primary advantages of hierarchical clustering is its ability to create a visual representation known as a dendrogram, which illustrates the relationships among the different clusters. This can be particularly useful for uncovering the underlying biological pathways and mechanisms driving cancer progression. Additionally, hierarchical clustering does not require a pre-specified number of clusters, making it flexible for various types of datasets.
