co-clustering
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Bayesian bi-clustering of categorical data
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Apr 6, 2022 - Julia
Extract textual information from Amazon products reviews and draw correlations through regression and fluctuation analysis.
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Mar 19, 2020 - Jupyter Notebook
Subspace clustering and coclustering course at the School of Electrical and Computer Engineering (FEEC-UNICAMP)
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Oct 6, 2018 - Jupyter Notebook
Directional Co-clustering with a Conscience (DCC)
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Aug 15, 2019 - R
Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.
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Mar 21, 2025 - Python
Scala implementation of the Multiple Coclustering model, a Bayesian Non-Parametric method for block clustering of multivariate continuous observations
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Jul 5, 2022 - Scala
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Mar 1, 2018 - Jupyter Notebook
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Jan 20, 2025 - Python
Co-clustering, also known as biclustering or block clustering, is a powerful data analysis technique that uncovers hidden structures in complex datasets.
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Nov 3, 2023
We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.
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Mar 21, 2025 - Python
Clustering Algorithms in Python
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Aug 21, 2019 - Jupyter Notebook
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