Článek v odborném periodiku

Novovičová J., Somol P., Haindl M., Pudil P.

Lecture Notes in Computer Science

2007

4756 (2007)

417-426

0302-9743

Doc. RNDr. Jana Novovičová, CSc. (ÚTIA - Oddělení rozpoznávání obrazů)

Pattern classification, feature selection, conditional mutua

We propose a sequential forward feature selection method to find a subset of features that are most relevant to the classification task. Our approach uses novel estimation of the conditional mutual information between candidate feature and classes, given a subset of already selected features which is utilized as a classifier independent criterion for evaluation of feature subsets. The proposed mMIFS-U algorithm is applied to text classification problem and compared with MIFS method and MIFS-U method proposed by Battiti and Kwak and Choi, respectively. Our feature selection algorithm outperforms MIFS method and MIFS-U in experiments on high dimensional Reuters textual data.