Abstract
This chapter proposes two new techniques called the chandelier decision tree and the random chandelier. This pair of techniques is similar to the well-known pair of techniques, the decision tree and the random forest. The chapter also presents a previously proposed algorithm called the unit circle algorithm (UCA) and proposes a family of UCA-based algorithms called the unit circle machine (UCM), unit ring algorithm (URA), and unit ring machine (URM). The unit circle algorithm integrates a normalization process to define a unit circle domain, and thus the other proposed algorithms adopt the phrase “unit circle.” The chandelier decision tree and the random chandelier use the unit ring machine to build the chandelier trees.
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Suthaharan, S. (2016). Chandelier Decision Tree. In: Machine Learning Models and Algorithms for Big Data Classification. Integrated Series in Information Systems, vol 36. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7641-3_13
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DOI: https://doi.org/10.1007/978-1-4899-7641-3_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7640-6
Online ISBN: 978-1-4899-7641-3
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