7 Revolutionary Advancements in Functional Data Clustering with Fdmclust (And What’s Holding It Back)
Introduction: The Evolution of Functional Data Clustering In the era of big data, functional data analysis (FDA) has emerged as a powerful tool for analyzing datasets where observations are curves, images, or other continuous functions. Traditional clustering techniques often fall short when applied to such high-dimensional, non-Euclidean data. This is where Fdmclust —a novel clustering […]
