Here is a course with videos that present Hierarchical clustering and its complementary with principal component methods. Four videos present a course on clustering, how to determine the number of clusters, how to describe the clusters and how to perform the clustering when there are lots of individuals and/or lots of variables. Then  you will find videos presenting the way to implement hierarchical clustering in FactoMineR.

• Course
  1. Introduction
  2. Example and how to choose the number of clusters
  3. The partitioning method K-means
  4. Characterizing clusters with the variables, clustering with categorical variables
  5. Material on the course videos: the slides, the transcription
• Tutorial in R
  • Clustering with FactoMineR

For more information, you can see the book blow. Here are some reviews on the book and a link to order the book.