M. Belkin and P. Niyogi, Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural Computation, vol.15, issue.6, pp.1373-1396, 2003.
DOI : 10.1126/science.290.5500.2319

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.3745

N. Duchateau, M. De-craene, and G. Piella, A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities, Medical Image Analysis, vol.15, issue.3, pp.316-328, 2011.
DOI : 10.1016/j.media.2010.12.006

N. Duchateau, M. De-craene, and G. Piella, Constrained manifold learning for the characterization of pathological deviations from normality, Medical Image Analysis, vol.16, issue.8, pp.1532-1549, 2012.
DOI : 10.1016/j.media.2012.07.003

T. Erdei, O. Smiseth, and P. Marino, A systematic review of diastolic stress tests in heart failure with preserved ejection fraction, with proposals from the EU-FP7 MEDIA study group, European Journal of Heart Failure, vol.28, issue.12, pp.1345-1361, 2013.
DOI : 10.1002/ejhf.184

M. Grant and S. Boyd, CVX: Matlab software for disciplined convex programming, version 2.0 beta, 2013.
DOI : 10.1007/0-387-30528-9_7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.8900

M. Komajda and C. Lam, Heart failure with preserved ejection fraction: a clinical dilemma, European Heart Journal, vol.35, issue.16, pp.1022-1032, 2014.
DOI : 10.1093/eurheartj/ehu067

Y. Lin, T. Liu, and C. Fuh, Multiple kernel learning for dimensionality reduction, IEEE Trans Pattern Anal Mach Intell, vol.33, pp.1-14, 2011.

W. Paulus, C. Tschöpe, and J. Sanderson, How to diagnose diastolic heart failure: a consensus statement on the diagnosis of heart failure with normal left ventricular ejection fraction by the Heart Failure and Echocardiography Associations of the European Society of Cardiology, European Heart Journal, vol.28, issue.20, pp.2539-2550, 2007.
DOI : 10.1093/eurheartj/ehm037

M. Senni, W. Paulus, and A. Gavazzi, New strategies for heart failure with preserved ejection fraction: the importance of targeted therapies for heart failure phenotypes, European Heart Journal, vol.35, issue.40, pp.2797-2811, 2014.
DOI : 10.1093/eurheartj/ehu204

S. Yan, D. Xu, and B. Zhang, Graph Embedding and Extensions: A General Framework for Dimensionality Reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.1, pp.40-51, 2007.
DOI : 10.1109/TPAMI.2007.250598