A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges Article Swipe

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Christophe Biernacki , Julien Jacques , Christine Keribin ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1007/s00357-023-09441-3

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Cluster Analysis

Computer Science

Data Mining

Artificial Intelligence

Machine Learning

Mathematics

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Cluster analysis Interpretability Computer science Data mining Dimension (graph theory) Clustering high-dimensional data Set (abstract data type) Dimensionality reduction Artificial intelligence Data set Selection (genetic algorithm) Extension (predicate logic) Machine learning Mathematics Programming language Pure mathematics

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s00357-023-09441-3
OA Status: green
Cited By: 6
References: 115
Related Works: 10
OpenAlex ID: https://openalex.org/W4295365628

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OpenAlex ID: https://openalex.org/W4295365628

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DOI: https://doi.org/10.1007/s00357-023-09441-3

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Title: A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-07-01

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Authors: Christophe Biernacki, Julien Jacques, Christine Keribin

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Landing page: https://doi.org/10.1007/s00357-023-09441-3

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Concepts: Cluster analysis, Interpretability, Computer science, Data mining, Dimension (graph theory), Clustering high-dimensional data, Set (abstract data type), Dimensionality reduction, Artificial intelligence, Data set, Selection (genetic algorithm), Extension (predicate logic), Machine learning, Mathematics, Programming language, Pure mathematics

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Cited by: 6

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Citations by year (recent): 2025: 3, 2024: 3

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References (count): 115

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Related works (count): 10

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referenced_works_count	115
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