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Published in:
2019 | OriginalPaper | Chapter
10. Image Annotation with Decision Tree
Author : Dr. Dengsheng Zhang
Published in: Fundamentals of Image Data Mining
Publisher: Springer International Publishing
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Abstract
This chapter introduces one of the most intuitive and traditional learning machines which is DT. The chapter begins with the introduction of DT concept and the formulation of DT using a standard ID3 algorithm with focus on splitting criterion. It is followed by describing another commonly used DT algorithm: C4.5. After the introduction of both ID3 and C4.5, the two subbranches of CART are described: classification tree and regression tree. An application of regression tree is shown on a real dataset to demonstrate how the CART actually works. The chapter is highlighted and concluded with an application of DT on image classification using a working example or case study. It demonstrates how a DT is built step by step and how the DT is used for prediction.