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

An implementation of Consensus clustering in Python

MultiCons (Multiple Consensuses) algorithm

A General Framework for Consensus Partitioning

RAFT Consensus Algorithm

Consensus and WECR K-Means clustering.

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.

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.

Clustered Leader Election by Seniority

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

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

Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.

Fast consensus clustering in networks

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

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

C++ implementation of raft consensus

Implementation of: Clustering of the structures by using "snakes & dragons" approach, or correlation matrix as a signal - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223267

Consensus K-Means clustering R package

Monte Carlo Reference-based Consensus Clustering

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