Abstract
Clustering is one of the main Machine Learning tasks. There are several data clustering techniques and different problems are different techniques. Choosing an algorithm in a non-automated way can be costly and requires in-depth knowledge of the problem and algorithms. In this way, meta-learning emerges as a tool to automate the process of algorithm selection. The proposal of this project…