Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Unsupervised Band Selection for Multispectral Images using Information Theory
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Engineering Applications of Artificial Intelligence
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This work presents a band selection method for multi and hyperspectral images using correlation among bands based on mutual information measures. The relationship among bands are represented by means of the transinformation matrix. A process based on a Deterministic Annealing optimization is applied to the transinformation matrix in order to obtain a reduction of this matrix looking for the image bands as less uncorrelated as possible between them. Some experiments are presented to show the effectiveness of the bands selected from the point of view of pixel classification.