Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning

• Published in: arXiv.org
• Main Author: Zambelli, Antoine
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 23.12.2021
• Subjects: Algorithms; Clustering; Datasets; Machine learning; Unsupervised learning

Unsupervised learning, and more specifically clustering, suffers from the need for expertise in the field to be of use. Researchers must make careful and informed decisions on which algorithm to use with which set of hyperparameters for a given dataset. Additionally, researchers may need to determin...