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Consensus clustering

Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than… 
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Related topics

Related topics

13 relations
Binarization of consensus partition matricesBioinformaticsData miningEnsemble learning

Broader (1)

Cluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Consensus Guided Multi-View Clustering
In recent decades, tremendous emerging techniques thrive the artificial intelligence field due to the increasing collected data… 
2017
2017
Mining Community Structures in Multidimensional Networks
We investigate the problem of community detection in multidimensional networks, that is, networks where entities engage in… 
Highly Cited
2014
Highly Cited
2014
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis
Highly Cited
2014
Highly Cited
2014
Combining Classification and Clustering for Tweet Sentiment Analysis
The goal of sentiment analysis is to determine opinions, emotions, and attitudes presented in source material. In tweet sentiment… 
2013
2013
Optimizing Fuzzy Cluster Ensemble in String Representation
In this paper, we present a novel optimization-based method for the combination of cluster ensembles. The information among the… 
2013
2013
Scenarios as channels of forecast advice
Highly Cited
2012
Highly Cited
2012
Generalized Adjusted Rand Indices for cluster ensembles
Highly Cited
2008
Highly Cited
2008
Weighted Consensus Clustering
Consensus clustering has emerged as an important extension of the classical clustering problem. We propose weighted consensus… 
Highly Cited
2006
Highly Cited
2006
Moderate diversity for better cluster ensembles
2003
2003
Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings
We recently introduced the idea of solving cluster ensembles using a Weighted Shared nearest neighbors Graph (WSnnG). Preliminary… 
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