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K. Puolamäki

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Open access Aug 2026

Poisson subspace clustering: focusing on the essentials in count data

This work presents 3CPO, a clustering algorithm based on statistically solid modeling of count data, and proposes a simple iterative algorithm that maximizes the posterior probability to find good clustering solutions and discusses its properties.

Collin Leiber, K. Puolamäki, H. Mannila · 0 citations

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