Machine Learning for Mobile

Hierarchical agglomerative clustering methods

Agglomerative hierarchical clustering is a classical clustering algorithm from the statistics domain. It involves iterative merging of the two most similar groups, which, in the first instance, contain single elements. The name of the algorithm refers to its way of working, as it creates hierarchical results in an agglomerative or bottom-up way, that is, by merging smaller groups into larger ones.

Here is the high-level algorithm for this method of clustering used in document clustering.

1. Generic agglomerative process (Salton, G: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer, Addison-Wesley, 1989) result in nested clusters via iterations.
2. Compute ...