… dealt with flat clustering that delivers a non-hierarchical partition … clustering technique, we
cover in this chapter another widely used clustering technique: namely, hierarchical clustering…

… We survey agglomerative hierarchical clustering algorithms and … look at hierarchical
self-organizing maps and mixture models. We review grid-based clustering, focusing on hierarchical …

… can be used in agglomerative hierarchical clustering. Subsequently, we will also provide
a complete version of the agglomerative hierarchical clustering algorithm in Algorithm 20. …

… clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical
clustering … , Dasgupta framed similarity-based hierarchical clustering as a combinatorial …

… latter denotes divisive hierarchical clustering procedures. The number of clusters should not
… In this chapter, hierarchical clustering methods will be briefly introduced from a theoretical …

… hierarchical clustering the goal is to detect a nested hierarchy of clusters that unveils the full
clustering … In this work we study the hierarchical clustering problem on real-world graphs. …

… The similarity measure plays a crucial role during hierarchical clustering process, we have …
the hierarchical clustering. More specifically, different types of hierarchical clustering methods …

… in the context of hierarchical clustering, for which the … nested clusters. In this article, we
propose a Monte Carlo based approach for testing statistical significance in hierarchical clustering …

… work is on hierarchical clustering schemes. … hierarchical clustering algorithms are discussed
based on certain parameters. A detailed comparison of the existing hierarchical clustering …

… In this study, it was conducted to compare the performance of clustering … Clustering algorithms
are used for hierarchical clustering and DBSCAN was used for density based clustering. It …