arXiv Machine Learning July 21, 2026 By Mackenzie R. Neal, Paul D. McNicholas, Arthur White

Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data

Read the original on arXiv Machine Learning →

arXiv:2604. 23083v2 Announce Type: replace-cross Abstract: Generative approaches to clustering provide information on geometric properties of clusters, whereas discriminative approaches provide boundaries between clusters.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

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Related stories

Variational Consensus Monte Carlo for Bayesian Mixture

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Why does Greedy Search produce Optimal Clustering Outcomes? A Fixed-Core Assignment Theory

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