Temporal Data Mining via Unsupervised Ensemble Learning

Chapter 4

Ensemble Learning

Abstract

In this chapter, we initially discuss the ensemble learning techniques from three aspects: ensemble learning algorithms, combining methods and diversity of ensemble learning. Furthermore, we are going to have the in-depth knowledge about unsupervised ensemble learning by discussing the consensus functions and objective functions of clustering ensemble approaches.

Keywords

Clustering Ensemble; Consensus Function; Ensemble Learning; Objective Function

Chapter Outline

4.1 Introduction 

4.2 Ensemble Learning Algorithms 

4.3 Combining Methods 

4.4 Diversity of Ensemble Learning 

4.5 Clustering Ensemble 

4.5.1 Consensus Functions 

4.5.1.1 Hypergraphic Partitioning Approach 

4.5.1.2 Coassociation-Based Approach 

4.5.1.3 Voting-Based ...