Machine Learning Guide for Oil and Gas Using Python

Chapter 4: Unsupervised machine learning: clustering algorithms

Abstract

In this chapter, various unsupervised machine learning algorithms such as k-means clustering, hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN), isolation forest, and local outlier factor (LOF) are discussed. This chapter starts with a step-by-step explanation of how k-means clustering functions, the math behind the clustering technique, and the step-by-step codes to apply k-means clustering to a geologic data set using scikit-learn in Python. Determining the number of clusters when using k-means clustering using the elbow point is also discussed and illustrated in Python. Another method for determining the effectiveness of the clusters ...