DNA microarray data clustering using growing self organizing networks

Recent advances in DNA microarray technology have allowed biologists to simultaneously monitor the activities of thousands of genes. To obtain meaning from these large amounts of complex data, data mining techniques such as clustering are being applied. This study investigates the application of some recently developed incremental, competitive and self-organizing neural networks (Growing Cell Structures and Growing Neural Gas) for clustering DNA microarray data, comparing them with traditional algorithms.