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airline data 1cluster analysis 1dimensionality reduction 1kernel pca 1principal component analysis 1

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cs.LG2026

Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA

Andreas Schlapbach

The paper replicates a US airline profit-cycle clustering study, showing that k‑means clustering on principal component scores yields the same six‑cluster solution as the raw data,…