diceR: an R package for class discovery using an ensemble driven approach

EFS: an ensemble feature selection tool implemented as R-package and web-application

(2017) Ursula Neumann et al.   BioData Mining

Statistical Significance of Clustering Using Soft Thresholding

(2015) Hanwen Huang et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Critical limitations of consensus clustering in class discovery

(2014) Yasin Șenbabaoğlu et al.   Scientific Reports

Cluster ensemble selection based on relative validity indexes

(2012) M. C. Naldi et al.   DATA MINING AND KNOWLEDGE DISCOVERY

An extensive comparative study of cluster validity indices

(2012) Olatz Arbelaitz et al.   PATTERN RECOGNITION

Understanding and Enhancement of Internal Clustering Validation Measures

(2012) Yanchi Liu et al.   IEEE Transactions on Cybernetics

Cluster ensembles

(2011) Joydeep Ghosh et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

LCE: a link-based cluster ensemble method for improved gene expression data analysis

(2010) N. Iam-on et al.   BIOINFORMATICS

RankAggreg, an R package for weighted rank aggregation

(2009) Vasyl Pihur et al.   BMC BIOINFORMATICS

On voting-based consensus of cluster ensembles

(2009) Hanan G. Ayad et al.   PATTERN RECOGNITION