BiFuncLib is a Python library for biclustering with functional data.
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Updated
Sep 23, 2025 - Python
BiFuncLib is a Python library for biclustering with functional data.
EBIC - AI-based parallel biclustering algorithm
A biclustering library with datasets, evaluation measures and a benchmarking framework
Subspace clustering and coclustering course at the School of Electrical and Computer Engineering (FEEC-UNICAMP)
Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦
Repository for the bisilhouette score R package
gBiBit: A multi-GPU biclustering algorithm for binary datasets
A multiobjective framework for biclustering of gene expression data. NSGA - 2 is used, for achieving multi-objective optimization of the biclusters. Biclusters are optimized on 3 objective functions: MSR, Row Variance, Area.
Implementation of the sparse singular value decomposition algorithm (Lee et al., 2010) to be used for Biclustering; Duke STA663 Final Project
Object-Attribute Biclustering for Genome-Wide Association Studies
Used generalized Bayesian and EM algorithms combined with a priori information for data biclustering.
Object-attribute biclustering, an early version
Multi-algorithm Ensemble Biclustering Method MoSBi | Publication: https://doi.org/10.1073/pnas.2118210119
gMSR: A multi-GPU algorithm to accelerate a massive validation of biclusters
Repository for the resnmtf R package
UG Final Year Project based on Suffix Forest Based Tri-clustering
Secured Cheng and Church Algorithm performs encrypted computations such as sum, or matrix multiplication in Python for biclustering algorithm
This repository contains code base of my Master Thesis work named under "Pattern Detection in Tabular Data with shallow hierarchy: A Visual Analytics Case Study for Narrative Visualization"
Code to recreate results from the "Multi-view biclustering via non-negative matrix tri-factorisation" paper.
Applying unsupervised learning methods to cereal nutritional data
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