November 2016
Intermediate to advanced
172 pages
5h 11m
English
Content preview from Temporal Data Mining via Unsupervised Ensemble LearningBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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
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