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Hierarchical cluster analysis is a method of cluster analysis which builds, by steps, a hierarchy of clusters, a dendrogram. Most popular is agglomerative hierarchical clustering (HAC) which starts from individual objects and collects them into bigger and bigger clusters.
3
votes
spectra clustering vs hierarchical clustering
Let's say that you know that there is a hierarchy in your data, and that you want to preserve this hierarchy. It will be easy to do that with hierarchical clustering but not necessarily with spectral …
17
votes
How to understand the drawbacks of Hierarchical Clustering?
Whereas $k$-means tries to optimize a global goal (variance of the clusters) and achieves a local optimum, agglomerative hierarchical clustering aims at finding the best step at each cluster fusion (g …