Seminar Details
2009-05-26 (14.00) : Subset selection for prediction analysis of NIR Spectra
At Euler building
Organized by Mathematical Engineering
Speaker :
Damien FRANCOIS (CESAME)
Abstract :
Spectrometric data involve very high-dimensional observations issued from sampled spectra. The correlation of the resulting spectral variables and
the large number of them imply several difficulties in modelling. This talk will propose a method for clustering the variables in order to perform
subset selection, in order to reduce dimensionality, colliearity, and therefore complexity. Experiments on real world data show that the reduction
in redundancy and in number of features leads to better performances obtained using a very low number of spectral ranges.