Chapter 4. Clustering with Unsupervised Learning

In this chapter, we will cover the following recipes:

• Clustering data using the k-means algorithm
• Compressing an image using vector quantization
• Building a Mean Shift clustering model
• Grouping data using agglomerative clustering
• Evaluating the performance of clustering algorithms
• Automatically estimating the number of clusters using DBSCAN algorithm
• Finding patterns in stock market data
• Building a customer segmentation model