Article

Benchmarking Phenotypic Clustering Algorithms via Empirically Calibrated Simulations: A Diagnostic Framework to Improve Biodiversity Assessment in Neglected Crops

2025-07-21

Abstract excerpt

Clustering algorithms are widely used for phenotypic characterization and germplasm management, particularly in neglected and underutilized species (NUS) that lack genomic resources. However, their performance under biologically realistic conditions remains poorly understood. Standard clustering methods commonly applied in crop research often assume distinct, isotropic, and homogeneous clusters—assumptions rarely...

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Literature Corpus work: 8109b275-fecb-51f5-b008-cbad3165191d
DOI: 10.1101/2025.07.16.665063

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