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Based on the consideration that multiset integrated canonical correlation analysis (MICCA) does not include the class information of the samples, this paper presents a discriminative learning version of MICCA, called discriminative-analysis of multiset integrated canonical correlations (DMICC). The extracted features by DMICC not only contain the class information of training samples, but also possess...
The Partial Least Squares(PLS) is a novel multivariate data analysis method developed from practical applications in real world. It is not influenced by the total scatter matrices of training samples being singular or not. So PLS can efficiently deal with the case of high-dimensional space with only small sample size such as biological feature recognition. The standard PLS firstly reshapes images...
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