Semi-supervised adaptive-height snipping of the hierarchical clustering tree
Semi-supervised adaptive-height snipping of the hierarchical clustering tree
In genomics, hierarchical clustering (HC) is a popular method for grouping similar samples based on a distance measure. HC algorithms do not actually create clusters, but compute a hierarchical representation of the data set.