1. Rasli, R.M., Muda, T.Z.T., Yusof, Y., Bakar, J. A.: Comparative analysis of content-based image retrieval techniques using color histogram: a case study of GLCM and K-means clustering. In: 2012 Third International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 283–286 (2012). IEEE
2. Khosla, G., Rajpal, N., Singh, J.: Evaluation of Euclidean and Manhattan metrics in content-based image retrieval system. In: 2015 2nd International Conference on Computing for Sustainable Global Development INDIACom, pp. 12–18 (2015). IEEE
3. Saito, T., Toriwaki, J.-I.: New algorithms for Euclidean distance transformation of an n-dimensional digitized picture with applications. Pattern Recogn. 27(11), 1551–1565 (1994)
4. Winsberg, S., Carroll, J.D.: A quasi-nonmetric method for multidimensional scalingvia an extended Euclidean model. Psychometrika 54(2), 217–229 (1989)
5. Barni, M., Buti, F., Bartolini, F., Cappellini, V.: A quasi-Euclidean norm to speed up vector median filtering. IEEE Trans. Image Process. 9(10), 1704–1709 (2000)