A new distance measure for model-based sequence clustering
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Updated: Jun 23, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
Published on: July 11, 2025
Darío García-García1, Emilio Parrado Hernández, Fernando Díaz-de María
1Department of Signal Theory and Communications, University Carlos III of Madrid, Leganés, Madrid, Spain. dggarcia@tsc.uc3m.es
Abstract:
We review the existing alternatives for defining model-based distances for clustering sequences and propose a new one based on the Kullback-Leibler divergence. This distance is shown to be especially useful in combination with spectral clustering. For improved performance in real-world scenarios, a model selection scheme is also proposed.
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