Hierarchical Clustering/Birch Trees

This painting visually interprets hierarchical clustering, an unsupervised algorithm that organizes data into tree-like structures based on similarities. Here, the metaphor of birch trees is employed: trees with similar trunk color patterns are grouped together, reflecting clusters formed by the algorithm. The varying shades and textures of the tree trunks symbolize different data points and their relationships, highlighting how hierarchical clustering identifies and organizes similarities in complex datasets. This artwork merges the natural world with computational methodology, offering a poetic representation of data clustering in a visually engaging manner.