Hierarchical Agglomerative clustering
in Posts on Applications, Nlp, Machine_learning, Clustering
A. Feature
- Make hierarchical tree of clusters, where each depth has different number of clusters and the proper depth can be chose depending on total number of clusters.
- A child node imply one of the meanings parent node indicates in detail.
- Assuming clustering sentences, Keywords extracted from each cluster(node) can be regarded as hierachchical topic tree from major topic to sub topics by its parent-child relationship.
- The results can vary greatly depending on which metric you use to calculate the distance.
