In this, among all the records two records which are having less Euclidean distance are merged in to one cluster and again this cluster inturn with which it is having less euclidean distance that ...

I get them and group them by state name. To do Agglomerative clustering, I scaled them and apply a z-transfornation on them to make their mean 0 and std 1. I use the dendrogram and linkage modules ...

Hierarchical clustering is an approach to cluster analysis that aims to group similar data points by building a hierarchy of clusters. Hierarchical clustering algorithms fall under two categories: ...