Hands-On Ensemble Learning with Python

Using scikit-learn

The scikit-learn has a number of clustering techniques available for use. Here, we briefly present how to use K-means. The algorithm is implemented in the KMeans class, which is contained in the sklearn.cluster package. This package contains all the clustering algorithms that are available in scikit-learn. In this chapter, we will use mainly K-means, as it is one of the most intuitive algorithms. Furthermore, the techniques used in this chapter can be applied to almost any clustering algorithm. For this experiment, we will try to cluster breast cancer data, in order to explore the possibility of distinguishing malignant cases from benign cases. In order to better visualize the results, we will first perform a t-Distributed ...