Semi-supervised Distributed Clustering for Bioinformatics - Comparison Study

Clustering analysis is a widely used technique in bioinformatics and biochemistry for variety of applications such as detection of new cell types, evaluation of drug response, etc. Since different applications and cells may require different clustering algorithms combining multiple clustering results into a consensus clustering using distributed clustering is a popular and efficient method to improve the quality of clustering analysis. …