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cs.LG2025
HI-PMK: A Data-Dependent Kernel for Incomplete Heterogeneous Data Representation
Youran Zhou, Mohamed Reda Bouadjenek, Jonathan Wells +1
Handling incomplete and heterogeneous data remains a central challenge in real-world machine learning, where missing values may follow complex mechanisms (MCAR, MAR, MNAR) and feat…
cs.LG2024
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya +1
In this paper, we show that preprocessing data using a variant of rank transformation called 'Average Rank over an Ensemble of Sub-samples (ARES)' makes clustering algorithms robus…