An implementation of Consensus clustering in Python

A General Framework for Consensus Partitioning

Monte Carlo Reference-based Consensus Clustering

Fast consensus clustering in networks

TKDE 2020: Ultra-Scalable Spectral Clustering and Ensemble Clustering (U-SPEC & U-SENC) #large-scale spectral clustering# #large-scale ensemble clustering#

Consensus and WECR K-Means clustering.

The R package "sarlacc" contains a pipeline to analyse nanopore sequencing data. It trims adapter sequences, retrieves optional UMI's, clusters reads and produces a consensus sequence for each cluster after multiple sequence alignment.

MATLAB code for Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities (IEEE TSMC-S 2021)

MATLAB Code for Locally Weighted Ensemble Clustering (IEEE TCYB 2018)

In this task, we had to write a multi-threaded OpenMP program, that will solve the consensus problem. If all the slave (child) processes agree on a single decision, then the processes will terminate displaying consensus reached.

MATLAB Code for Robust Ensemble Clustering Using Probability Trajectories (IEEE TKDE 2016)

In this task, we had to write a multi-threaded MPICH program, that will solve the consensus problem. If all the slave (child) processes agree on a single decision, then the processes will terminate displaying consensus reached.

MultiCons (Multiple Consensuses) algorithm

A Java software package that implements Projective Clustering Ensembles (PCE)

MultiCons: Multiple Consensus Clustering using Closed Patterns

Reducing imbalanced dataset (Undersampling) by Consensus Clustering (Simple Majority Voting function) and validating the changes using different classifier model with bagging and boosting techniques.

Avalanche Consensus is a consensus protocol that is scalable, robust, and decentralized. It combines features of both classical and Nakamoto consensus mechanisms to achieve high throughput, fast finality, and energy efficiency

Some code for lattice-based consensus clustering

A Java software package that implements Projective Clustering Ensembles (PCE)

Reconciling Multiple Spatial Domain Identification Algorithms via Consensus Clustering