Recursive ECOC for microarray data classification

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Abstract

Recursive ECOC (RECOC) classifiers, effectively deals with microarray data complexity by encoding multiclass labels with codewords taken from Low Density Parity Check (LDPC) codes. Not all good LDPC codes result in good microarray data RECOC classifiers. A general scoring method for the identification of promising LDPC codes in the RECOC sense is presented. © Springer-Verlag Berlin Heidelberg 2005.

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Tapia, E., Serra, E., & González, J. C. (2005). Recursive ECOC for microarray data classification. In Lecture Notes in Computer Science (Vol. 3541, pp. 108–117). Springer Verlag. https://doi.org/10.1007/11494683_11

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