Estimating Local Intrinsic Dimensionality, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '15, pp.29-38, 2015. ,
DOI : 10.1145/2783258.2783405
URL : https://hal.archives-ouvertes.fr/hal-01159217
A bootstrap method for assessing the dimension of a general regression problem, Statistics & Probability Letters, vol.77, issue.3, pp.247-255, 2007. ,
DOI : 10.1016/j.spl.2006.07.020
Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data, Journal of Statistical Software, vol.46, issue.6, pp.1-29, 2012. ,
DOI : 10.18637/jss.v046.i06
Retrieval of Mars surface physical properties from OMEGA hyperspectral images using regularized sliced inverse regression, Journal of Geophysical Research, vol.20, issue.2, p.114, 1991. ,
DOI : 10.1029/2008JE003171
URL : https://hal.archives-ouvertes.fr/inria-00276116
Gaussian Regularized Sliced Inverse Regression, Statistics and Computing, vol.5, issue.22, pp.85-98, 2009. ,
DOI : 10.1007/s11222-008-9073-z
URL : https://hal.archives-ouvertes.fr/inria-00180458
High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, pp.502-519, 2007. ,
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548573
A sliced inverse regression approach for data stream, Computational Statistics, vol.51, issue.22, pp.1129-1152, 2014. ,
DOI : 10.1007/s00180-014-0483-4
URL : https://hal.archives-ouvertes.fr/hal-00688609
A Sliced Inverse Regression Approach for a Stratified Population, Communications in Statistics - Theory and Methods, vol.5, issue.21, pp.3857-3878, 2011. ,
DOI : 10.1214/aos/1032526955
Can SIR be as popular as multiple linear regression?, Statistica Sinica, vol.8, issue.2, pp.289-316, 1998. ,
Dimension reduction strategies for analyzing global gene expression data with a response, Mathematical Biosciences, vol.176, issue.1, pp.123-144, 2002. ,
DOI : 10.1016/S0025-5564(01)00106-7
Applied regression including computing and graphics, 2009. ,
A new sliced inverse regression method for multivariate response, Computational Statistics & Data Analysis, vol.77, pp.285-299, 2014. ,
DOI : 10.1016/j.csda.2014.03.006
URL : https://hal.archives-ouvertes.fr/hal-00714981
Asymptotics of graphical projection pursuit. The Annals of Statistics, pp.793-815, 1984. ,
Slicing Regression: A Link-Free Regression Method, The Annals of Statistics, vol.19, issue.2, pp.505-530, 1991. ,
DOI : 10.1214/aos/1176348109
Introduction to statistical pattern recognition. Academic press, 2013. ,
On almost linearity of low dimensional projections from high dimensional data. The Annals of Statistics, pp.867-889, 1993. ,
An asymptotic theory for sliced inverse regression. The Annals of Statistics, pp.1040-1061, 1992. ,
Cluster-based Sliced Inverse Regression, Journal of the Korean Statistical Society, vol.39, issue.2, pp.251-267, 2010. ,
DOI : 10.1016/j.jkss.2009.08.004
URL : https://hal.archives-ouvertes.fr/hal-00547252
Sliced Inverse Regression for Dimension Reduction, Journal of the American Statistical Association, vol.13, issue.414, pp.316-327, 1991. ,
DOI : 10.1214/aos/1176345514
Cluster-based estimation for sufficient dimension reduction, Computational Statistics & Data Analysis, vol.47, issue.1, pp.175-193, 2004. ,
DOI : 10.1016/j.csda.2003.10.017
Dimension reduction methods for microarrays with application to censored survival data, Bioinformatics, vol.20, issue.18, pp.3406-3412, 2004. ,
DOI : 10.1093/bioinformatics/bth415
A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches, Computational Statistics, vol.98, issue.1, pp.103-125, 2012. ,
DOI : 10.1007/s00180-011-0241-9
URL : https://hal.archives-ouvertes.fr/hal-00938090
An asymptotic theory for sliced inverse regression, Communications in Statistics - Theory and Methods, vol.5, issue.9, pp.2141-2171, 1997. ,
DOI : 10.1214/aos/1176345514
Regularized Sliced Inverse Regression with Applications in Classification, Data Analysis, Classification and the Forward Search, pp.59-66, 2006. ,
DOI : 10.1007/3-540-35978-8_7
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression, Computational Statistics & Data Analysis, vol.52, issue.1, pp.438-451, 2007. ,
DOI : 10.1016/j.csda.2007.02.005
Robust subspace clustering. The Annals of Statistics, pp.669-699, 2014. ,
Dimensionality reduction: A comparative review, Journal of Machine Learning Research, vol.10, pp.1-4166, 2009. ,
RSIR: regularized sliced inverse regression for motif discovery, Bioinformatics, vol.21, issue.22, pp.4169-4175, 2005. ,
DOI : 10.1093/bioinformatics/bti680
Extending the Scope of Inverse Regression Methods in Sufficient Dimension Reduction, Communications in Statistics - Theory and Methods, vol.40, issue.1, pp.84-95, 2010. ,
DOI : 10.1080/03610920903350531