Nearest Neighbour Distance Matrix Classification
Nearest Neighbour Distance Matrix Classification is a scholarly work by Mohd Shamrie Sainin and Rayner Alfred, published in 2010 in ''Lecture Notes in Computer Science''. The main subjects of the publication include distance measures, matrix, pattern recognition, measure, nearest neighbour algorithm, computer science, artificial intelligence, point, Nearest neighbor, k-nearest neighbors algorithm, distance matrix, Earth mover's distance, facial recognition system, mathematics, Distance matrices in phylogeny, Mahalanobis distance, and Euclidean distance. Based on the experimental results, authors found that the trained distance matrix yields reasonable performance in classification.