Hands-On Unsupervised Learning with Python

Cluster analysis

Cluster analysis (normally called just clustering) is an example of a task where we want to find out common features among large sets of samples. In this case, we always suppose the existence of a data generating process and we define the dataset X as:

A clustering algorithm is based on the implicit assumption that samples can be grouped according to their similarities. In particular, given two vectors, a similarity function is defined as the reciprocal or inverse of a metric function. For example, if we are working in a Euclidean ...