How to ensemble Clustering Algorithms

K-Means like you’ve never seen before

Introduction

Ensemble, in the AI context, is a technique that tries to improve performance by aggregating the prediction of multiple Machine Learning models. It can be considered a type of meta-learning, where an external agent computes a final prediction judging the individual predictions of other agents.

There are several ways to ensemble supervised algorithms, like bagging and boosting. In particular, boosting techniques (especially XGBoost) became state-of-the and indispensable …

algorithms artificial intelligence clustering ensemble machine learning