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Explores biclustering in data matrices, identifying coherent behavior patterns and discussing computational methods for analysis.
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Lattices: Theory and Applications
Explores the theory of lattices, their properties, and applications in different mathematical contexts, emphasizing local-global principles.
Analytic Continuation of Zeta Function
Explores the analytic continuation of the zeta function and its relation to holomorphic functions and natural numbers.
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Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.
Statistical Analysis of Networks: Link Prediction and Biclustering
Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.
Statistical Analysis of Network Data: Structures and Models
Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.
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Explores biclustering techniques and latent variables in network data analysis.
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