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In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A multidimensional scaling is used for visualization of multidimensional vectors. The quality of quantization is measured by a quantization error. Two numerical measures for proximity(More)
In the paper, two combinations (consecutive and integrated) of vector quantization methods (self-organizing map and neural gas) and multidimensional scaling (MDS) have been investigated and compared. The vector quantization is used to reduce the number of dataset items. The dataset with a smaller number of items is analyzed by multidimensional scaling in(More)
Since the introduction of high-resolution microarray technologies, it has become apparent that structural chromosomal rearrangements can lead to a wide variety of clinical manifestations, including developmental delay/intellectual disability (DD/ID). It has been shown previously that the diagnostic yield of genome-wide array-based identification of(More)
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