Developing and improving methods for robust ensemble classification: an aggregation operator and clustering-classification approach

Developing and improving methods for robust ensemble classification: an aggregation operator and clustering-classification approach

Classification is an important technique (in pattern recognition) to categorise objects within their respective groups. In most real-world pattern recognition problems, it has become difficult to achieve best performance using an individual classifier. Ensemble algorithms, which are methods combinin...

Full description

Bibliographic Details
Main Author: Agrawal, Utkarsh
Format: Thesis (University of Nottingham only)
Language:English
Published: 2019
Subjects:
machine learning
classification
ensemble classification
Online Access:https://eprints.nottingham.ac.uk/59059/

Similar Items

Similar Items