The effectiveness of supervised clustering for characterising flight diversions due to weather

Author:

Dalmau RamonORCID,Gawinowski Gilles

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Dimensionality reduction for visualizing single-cell data using UMAP;Becht;Nature Biotechnology,2018

2. Hierarchical density estimates for data clustering, visualization, and outlier detection;Campello;ACM Transactions on Knowledge Discovery from Data,2015

3. Cooper, A., Doyle, O., & Bourke, A. (2021). Supervised clustering for subgroup discovery: An application to COVID-19 symptomatology, (pp. 408–422).

4. An analysis framework for clustering algorithm selection with applications to spectroscopy;Crase;PLOS ONE,2022

5. Learning with confidence the likelihood of flight diversion due to adverse weather at destination;Dalmau;IEEE Transactions on Intelligent Transportation Systems,2023

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