In the previous chapters, we discussed K-means, Fuzzy K-means, and Canopy clustering. In this chapter, we will discuss the model-based clustering algorithm. Model-based clustering is used to overcome some of the deficiencies that can occur in the K-means or Fuzzy K-means algorithms. We will discuss the following topics in this chapter:
Learning model-based clustering
Understanding Dirichlet clustering
Understanding topic modeling