Chapter 4. Clustering Techniques
In this chapter, we will cover various techniques that will allow you to cluster the outbound call data of a bank that we used in the previous chapter. You will learn the following recipes:
- Assessing the performance of a clustering method
- Clustering data with the k-means algorithm
- Finding an optimal number of clusters for k-means
- Discovering clusters with the mean shift clustering model
- Building fuzzy clustering model with c-means
- Using a hierarchical model to cluster your data
- Finding groups of potential subscribers with DBSCAN and BIRCH algorithms
