Clustering Financial Market Structures using Affinity Propagation in Python

visualizing crypto market structure, lasso regression, python, scikit-learn

Affinity propagation is an unsupervised clustering technique that stands out from other clustering approaches by its capacity to determine the number of clusters in a dataset. This tutorial demonstrates this capacity by applying the technique to analyze the crypto market structure. We perform a cluster analysis of historical prices of … Read more

Cluster Analysis with k-Means and Python

clustering k means python tutorial

Cluster analysis is an unsupervised machine learning technique that groups similar objects into clusters and separates them from different ones. In unsupervised learning, the model recognizes patterns and associations from the data without requiring a target variable. This technique is beneficial for distinguishing objects whose similarities and differences are unknown. … Read more