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Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors [article]

Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 arXiv   pre-print
A recently proposed clustering-based method enhances the power of prediction using patient data with similar spatiotemporal patterns.  ...  We use real datasets to demonstrate that our method performs significantly better than conventional clustering-based and patient-wise regression methods, because the hierarchical aggregating strategy has  ...  Maya et al. also proposed a hierarchical MDL-based clustering method to detect progressive patterns of glau-coma [8] .  ... 
arXiv:1603.07094v1 fatcat:k2kr7ho72nb6xnx4f2t4t5pwha

The 18th European Symposium on Quantitative Structure–Activity Relationships

Anna Tsantili-Kakoulidou, Dimitris K Agrafiotis
2011 Expert Opinion on Drug Discovery  
This study has been performed using the above program via Internet, Biobyte Corp., 201 West 4th Street, Suite 204, Claremont, Pomona College, USA.  ...  Acknowledgement: TP appreciates a grant from the City Hall of Paris.  ...  Through Agglomerative Hierarchical Cluster analysis of the consensus RMSD matrix based on the common scaffold of the ligands, two clusters were identified.  ... 
doi:10.1517/17460441.2011.560604 pmid:22646021 fatcat:tb4bhvtnpzahxm4xba7iw4afuy