A k-nearest neighbor approach for chromosome shape classification

Mircea-Sebastian Serbanescu

Abstract


The aim of this paper is to us a k-nearest neighbor algorithm for chromosome shape classification. To achieve this task a free web database of 117 normal karyotypes (for both men and women) was used. The classifier, in spite of its simplicity proved very reliable, providing a very good accuracy.


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